This page has only limited features, please log in for full access.
This work proposes a new hybrid control strategy for a pressurized water type nuclear power plant by integrating linear quadratic integrator (LQI), linear quadratic Gaussian (LQG), and loop transfer recovery (LTR) approaches. The multi-input multi-output nuclear plant model adopted in this work is characterized by 38 state variables. The nonlinear plant model is linearized around steady-state operating conditions to obtain a linear model for the controller design. The proposed LQGI/LTR technique designs state-feedback assisted output control using the estimated states. The control architecture offers robust performance and tracks the reference set-point with zero steady-state error in the presence of uncertainties and disturbances. The effectiveness of the proposed technique is demonstrated by simulations on different subsections of a pressurized water nonlinear nuclear power plant model. The control performance of the proposed technique is further compared with other classical control design schemes. Statistical measures are employed to quantitatively analyse control performance.
Vineet Vajpayee; Victor Becerra; Nils Bausch; Jiamei Deng; S.R. Shimjith; A. John Arul. LQGI/LTR based robust control technique for a pressurized water nuclear power plant. Annals of Nuclear Energy 2021, 154, 108105 .
AMA StyleVineet Vajpayee, Victor Becerra, Nils Bausch, Jiamei Deng, S.R. Shimjith, A. John Arul. LQGI/LTR based robust control technique for a pressurized water nuclear power plant. Annals of Nuclear Energy. 2021; 154 ():108105.
Chicago/Turabian StyleVineet Vajpayee; Victor Becerra; Nils Bausch; Jiamei Deng; S.R. Shimjith; A. John Arul. 2021. "LQGI/LTR based robust control technique for a pressurized water nuclear power plant." Annals of Nuclear Energy 154, no. : 108105.
This article solves the finite-time bounded tracking control problem for fractional-order systems. Firstly, by taking the fractional derivative on state equations and error signals, a fractional-order error system is constructed, and the error signal is taken as the output vector of the error system. Secondly, a state feedback controller is introduced into the error system, and the fractional derivative of disturbance signals and desired tracking signals are combined as the disturbance signal of the error system. Thus, the original problem is converted into the input-output finite time stability problem of the closed-loop error systems. Thirdly, based on the linear matrix inequalities (LMIs), the sufficient conditions which ensure the finite-time bounded tracking for the desired tracking signals are derived. Therefore, the finite-time bounded tracking controller of the original system is obtained. Finally, simulation results elucidate the effectiveness of the controller.
Hao Xie; Fucheng Liao; Yunan Chen; Xinyue Zhang; Minli Li; Jiamei Deng. Finite-Time Bounded Tracking Control for Fractional-Order Systems. IEEE Access 2021, 9, 11014 -11023.
AMA StyleHao Xie, Fucheng Liao, Yunan Chen, Xinyue Zhang, Minli Li, Jiamei Deng. Finite-Time Bounded Tracking Control for Fractional-Order Systems. IEEE Access. 2021; 9 ():11014-11023.
Chicago/Turabian StyleHao Xie; Fucheng Liao; Yunan Chen; Xinyue Zhang; Minli Li; Jiamei Deng. 2021. "Finite-Time Bounded Tracking Control for Fractional-Order Systems." IEEE Access 9, no. : 11014-11023.
A control design scheme is formulated for a pressurized water type nuclear power plant by integrating the optimal linear quadratic Gaussian (LQG) control with the robust integral sliding mode (ISM) technique. A novel robust-optimal hybrid control scheme is further proposed by integrating the LQG-ISM technique with the loop transfer recovery approach to enhance the effectiveness and robustness capability. The control architecture offers robust performance with minimum control efforts and tracks the reference set-point effectively in the presence of disturbances and parametric uncertainties. The multi-input-multi-output nuclear power plant model adopted in this work is characterized by 38 state variables. The nonlinear plant model is linearized around steady-state operating conditions to obtain a linear model for the controller design. The efficacy of the proposed controllers is demonstrated by nuclear power plant subsystem simulations. The control performance of the proposed technique is also compared with other classical control design schemes. Numerical measures are employed to quantitatively analyse and compare the performance of the different controllers that are studied in the work.
Vineet Vajpayee; Victor Becerra; Nils Bausch; Jiamei Deng; S.R. Shimjith; A. John Arul. Robust-optimal integrated control design technique for a pressurized water-type nuclear power plant. Progress in Nuclear Energy 2020, 131, 103575 .
AMA StyleVineet Vajpayee, Victor Becerra, Nils Bausch, Jiamei Deng, S.R. Shimjith, A. John Arul. Robust-optimal integrated control design technique for a pressurized water-type nuclear power plant. Progress in Nuclear Energy. 2020; 131 ():103575.
Chicago/Turabian StyleVineet Vajpayee; Victor Becerra; Nils Bausch; Jiamei Deng; S.R. Shimjith; A. John Arul. 2020. "Robust-optimal integrated control design technique for a pressurized water-type nuclear power plant." Progress in Nuclear Energy 131, no. : 103575.
This paper studies the preview tracking control problem for linear discrete-time periodic switched systems. Firstly, an augmented error system is constructed for each subsystem by stabilizing the augmented error systems through the method of optimal preview control, and the tracking problem of the switched system is transformed into the switched stability problem of closed-loop augmented error systems. Secondly, a switched Lyapunov function method is applied to search the minimal dwell time satisfying the switched stability of the closed-loop augmented error systems. Thirdly, the switched preview control input is solved from the controller of the individual augmented error system, and then the sufficient conditions and the preview controller can be obtained to guarantee the solvability of the original periodic switched preview tracking problem. Finally, numerical simulations show the effectiveness of the stabilization design method.
Fucheng Liao; Lijie Cui; Yanrong Lu; Jiamei Deng. Preview Tracking Control of Linear Periodic Switched Systems with Dwell Time. Mathematical Problems in Engineering 2020, 2020, 1 -9.
AMA StyleFucheng Liao, Lijie Cui, Yanrong Lu, Jiamei Deng. Preview Tracking Control of Linear Periodic Switched Systems with Dwell Time. Mathematical Problems in Engineering. 2020; 2020 ():1-9.
Chicago/Turabian StyleFucheng Liao; Lijie Cui; Yanrong Lu; Jiamei Deng. 2020. "Preview Tracking Control of Linear Periodic Switched Systems with Dwell Time." Mathematical Problems in Engineering 2020, no. : 1-9.
This article presents an integrated non-linear dynamic model of a Pressurized Water-type Nuclear Reactor (PWR) and associated plant components for control design and evaluation purposes. The model uses the first-principles approach to represent various components of the plant. The model considers the dynamics of the reactor core, thermal hydraulics, piping and plenum, pressurizer, steam generator, condenser, and turbine-governor system, in addition to various actuators and sensors. The response of the proposed model is tested using perturbations in different input variables. Various control loops implementing low-level PI control strategies are designed and implemented in the model to simulate the closed-loop behaviour of the plant. These include control loops for reactor power, steam generator pressure, pressurizer pressure and level, and turbine speed. Linear quadratic Gaussian-based optimal control strategies are further developed and implemented. Unique contributions of the work include the set of plant sections that are considered, the implementation of carefully tuned control strategies, the completeness of the model equations, and the availability of parameter values so that the model is readily implementable and has the potential to become a benchmark for control design studies in PWR nuclear power plants.
Vineet Vajpayee; Victor Becerra; Nils Bausch; Jiamei Deng; S.R. Shimjith; A. John Arul. Dynamic modelling, simulation, and control design of a pressurized water-type nuclear power plant. Nuclear Engineering and Design 2020, 370, 110901 .
AMA StyleVineet Vajpayee, Victor Becerra, Nils Bausch, Jiamei Deng, S.R. Shimjith, A. John Arul. Dynamic modelling, simulation, and control design of a pressurized water-type nuclear power plant. Nuclear Engineering and Design. 2020; 370 ():110901.
Chicago/Turabian StyleVineet Vajpayee; Victor Becerra; Nils Bausch; Jiamei Deng; S.R. Shimjith; A. John Arul. 2020. "Dynamic modelling, simulation, and control design of a pressurized water-type nuclear power plant." Nuclear Engineering and Design 370, no. : 110901.
The estimation of radioactivity release following an accident in a nuclear power plant is crucial due to its short and long-term impacts on the surrounding population and the environment. In the case of any accidental release, the activity needs to be estimated quickly and reliably to effectively plan a rapid emergency response and design an appropriate evacuation strategy. The accurate prediction of incurred dose rate during normal or accident scenario is another important aspect. In this article, three different non-linear estimation techniques, extended Kalman filter, unscented Kalman filter, and cubature Kalman filter are proposed in order to estimate release activity and to improve the prediction of dose rates. Radionuclide release rate, average wind speed, and height of release are estimated using the dose rate monitors data collected in proximity of the release point. Further, the estimates are employed to improve the prediction of dose rates. The atmospheric dispersion phenomenon of radioactivity release is modelled using the Gaussian plume model. The Gaussian plume model is then employed for the calculation of dose rates. A variety of atmospheric and accident related scenarios for single source and multiple sources are studied in order to assess the efficacy of the proposed filters. Statistical measures have been used in order to validate the performance of the proposed approaches.
Victor M. Becerra; Vineet Vajpayee; Nils Bausch; T.V. Santhosh; Gopika Vinod; Jiamei Deng. Estimation of Radioactivity Release Activity Using Non-Linear Kalman Filter-Based Estimation Techniques. Energies 2020, 13, 3985 .
AMA StyleVictor M. Becerra, Vineet Vajpayee, Nils Bausch, T.V. Santhosh, Gopika Vinod, Jiamei Deng. Estimation of Radioactivity Release Activity Using Non-Linear Kalman Filter-Based Estimation Techniques. Energies. 2020; 13 (15):3985.
Chicago/Turabian StyleVictor M. Becerra; Vineet Vajpayee; Nils Bausch; T.V. Santhosh; Gopika Vinod; Jiamei Deng. 2020. "Estimation of Radioactivity Release Activity Using Non-Linear Kalman Filter-Based Estimation Techniques." Energies 13, no. 15: 3985.
In this paper, a fault-tolerant preview controller is designed for a class of impulse controllable continuous time descriptor systems with sensor faults. Firstly, the impulse is eliminated by introducing state prefeedback; then an algebraic equation and a normal control system are obtained by restricted equivalent transformation for the descriptor system after impulse elimination. Next, the model following problem in fault-tolerant control is transformed into the optimal regulation problem of the augmented system which is constructed by a general method. And the final augmented system and its corresponding performance index function are obtained by state feedback for the augmented system constructed above. The controller with preview effect for the final augmented system is attained based on the existing conclusions of optimal preview control; then, the fault-tolerant preview controller for the original system is obtained through integral and backstepping. The relationships between the stabilisability and detectability of the final augmented system and the corresponding characteristics of the original descriptor system are also strictly discussed. The effectiveness of the proposed method is verified by numerical simulation.
Chen Jia; Fucheng Liao; Jiamei Deng. Impulse Elimination and Fault-Tolerant Preview Controller Design for a Class of Descriptor Systems. Mathematical Problems in Engineering 2019, 2019, 1 -13.
AMA StyleChen Jia, Fucheng Liao, Jiamei Deng. Impulse Elimination and Fault-Tolerant Preview Controller Design for a Class of Descriptor Systems. Mathematical Problems in Engineering. 2019; 2019 ():1-13.
Chicago/Turabian StyleChen Jia; Fucheng Liao; Jiamei Deng. 2019. "Impulse Elimination and Fault-Tolerant Preview Controller Design for a Class of Descriptor Systems." Mathematical Problems in Engineering 2019, no. : 1-13.
In this paper, a cooperative optimal preview tracking problem is considered for continuous-time descriptor multi-agent systems with a directed topology containing a spanning tree. By the acyclic assumption and state augmentation technique, it is shown that the cooperative tracking problem is equivalent to local optimal regulation problems of a set of low-dimensional descriptor augmented subsystems. To design distributed optimal preview controllers, restricted system equivalent (r.s.e.) and preview control theory are first exploited to obtain optimal preview controllers for reduced-order normal subsystems. Then, by using the invertibility of restricted equivalent relations, a constructive method for designing distributed controller is presented which also yields an explicit admissible solution for the generalized algebraic Riccati equation. Sufficient conditions for achieving global cooperative preview tracking are proposed proving that the distributed controllers are able to stabilize the descriptor augmented subsystems asymptotically. Finally, the validity of the theoretical results is illustrated via numerical simulation.
Yanrong Lu; Fucheng Liao; Jiamei Deng; Colin Pattinson. Cooperative optimal preview tracking for linear descriptor multi-agent systems. Journal of the Franklin Institute 2019, 356, 908 -934.
AMA StyleYanrong Lu, Fucheng Liao, Jiamei Deng, Colin Pattinson. Cooperative optimal preview tracking for linear descriptor multi-agent systems. Journal of the Franklin Institute. 2019; 356 (2):908-934.
Chicago/Turabian StyleYanrong Lu; Fucheng Liao; Jiamei Deng; Colin Pattinson. 2019. "Cooperative optimal preview tracking for linear descriptor multi-agent systems." Journal of the Franklin Institute 356, no. 2: 908-934.
This paper considers the design of the robust preview controller for a class of uncertain discrete-time Lipschitz nonlinear systems. According to the preview control theory, an augmented error system including the tracking error and the known future information on the reference signal is constructed. To avoid static error, a discrete integrator is introduced. Using the linear matrix inequality (LMI) approach, a state feedback controller is developed to guarantee that the closed-loop system of the augmented error system is asymptotically stable with H∞ performance. Based on this, the robust preview tracking controller of the original system is obtained. Finally, two numerical examples are included to show the effectiveness of the proposed controller.
Xiao Yu; Fucheng Liao; Jiamei Deng. Robust Preview Control for a Class of Uncertain Discrete-Time Lipschitz Nonlinear Systems. Mathematical Problems in Engineering 2018, 2018, 1 -15.
AMA StyleXiao Yu, Fucheng Liao, Jiamei Deng. Robust Preview Control for a Class of Uncertain Discrete-Time Lipschitz Nonlinear Systems. Mathematical Problems in Engineering. 2018; 2018 ():1-15.
Chicago/Turabian StyleXiao Yu; Fucheng Liao; Jiamei Deng. 2018. "Robust Preview Control for a Class of Uncertain Discrete-Time Lipschitz Nonlinear Systems." Mathematical Problems in Engineering 2018, no. : 1-15.
Artificial intelligence methods have been successfully applied to monitor the safety of nuclear power plants (NPPs). One major safety issue of a NPP is the loss of a coolant accident (LOCA) which is caused by the occurrence of a large break in the inlet headers (IH) of a nuclear reactor. Neural networks can be trained on transient datasets of a NPP to detect LOCA of the NPP. However, the transient datasets exhibit big data characteristics and designing an optimised neural network by exhaustive training all possible neural network architectures on big data can be very time-consuming because there exist a large number of possible neural network architectures for big data. This work proposes a neural network (NN) design methodology in three stages to detect the break sizes of the IHs of a NPP. In stage one, an optimised 1-hidden layer multilayer perceptron (MLP) is obtained by training and testing a number of 1-hidden layer MLP architectures which are determined empirically. In stage two, a number of 2-hidden layer MLP architectures are determined based on the number of the weights of the optimised 1-hidden layer MLP; then, an optimised 2-hidden layer MLP is obtained by training and testing these 2-hidden layer MLP architectures. In stage three, the break sizes not present in the transient dataset are generated using linear interpolation method; then, the optimised 2-hidden layer MLP is trained and tested iteratively 100 times using the transient dataset added with the linear interpolation dataset. The results show that the proposed methodology outperformed the MLP of the previous work. Compared with exhaustive training of all 2-hidden layer architectures, the speed of the proposed methodology is faster than that of exhaustive training. Additionally, the optimised 2-hidden layer MLP of the proposed methodology has a similar performance to exhaustive training. We consider this work as an engineering application of predictive data analytics for which neural networks are used as the primary tool.
David Tian; Jiamei Deng; Gopika Vinod; T. V. Santhosh; Hissam Tawfik. A Neural Networks Design Methodology for Detecting Loss of Coolant Accidents in Nuclear Power Plants. Applications of Big Data Analytics 2018, 43 -61.
AMA StyleDavid Tian, Jiamei Deng, Gopika Vinod, T. V. Santhosh, Hissam Tawfik. A Neural Networks Design Methodology for Detecting Loss of Coolant Accidents in Nuclear Power Plants. Applications of Big Data Analytics. 2018; ():43-61.
Chicago/Turabian StyleDavid Tian; Jiamei Deng; Gopika Vinod; T. V. Santhosh; Hissam Tawfik. 2018. "A Neural Networks Design Methodology for Detecting Loss of Coolant Accidents in Nuclear Power Plants." Applications of Big Data Analytics , no. : 43-61.
A finite-time bounded tracking control problem for a class of linear discrete-time systems subject to disturbances is investigated. Firstly, by applying a difference method to constructing the error system, the problem is transformed into a finite-time boundedness problem of the output vector of the error system. In fact, this is a finite-time boundedness problem with respect to the partial variables. Secondly, based on the partial stability theory and the research methods of finite-time boundedness problem, a state feedback controller formulated in form of linear matrix inequality is proposed. Based on this, a finite-time bounded tracking controller of the original system is obtained. Finally, a numerical example is presented to illustrate the effectiveness of the controller.
Fucheng Liao; Yingxue Wu; Xiao Yu; Jiamei Deng. Finite-Time Bounded Tracking Control for Linear Discrete-Time Systems. Mathematical Problems in Engineering 2018, 2018, 1 -10.
AMA StyleFucheng Liao, Yingxue Wu, Xiao Yu, Jiamei Deng. Finite-Time Bounded Tracking Control for Linear Discrete-Time Systems. Mathematical Problems in Engineering. 2018; 2018 ():1-10.
Chicago/Turabian StyleFucheng Liao; Yingxue Wu; Xiao Yu; Jiamei Deng. 2018. "Finite-Time Bounded Tracking Control for Linear Discrete-Time Systems." Mathematical Problems in Engineering 2018, no. : 1-10.
This paper investigates the problem of preview tracking control for a class of differentiable nonlinear systems. First, by constructing an augmented error system (AES), the tracking problem is transformed into a regulation problem. Thanks to the differentiable mean value theorem, the obtained AES is a linear parameter varying system. Then, a state feedback controller is developed and a sufficient condition for asymptotic stability of the closed-loop system is presented in the LMI form. Based on this criterion, the preview controller of the original system is designed to guarantee that the output asymptotically tracks a reference signal. Finally, the effectiveness of the proposed controller is shown by numerical simulations.
Xiao Yu; Fucheng Liao; Jiamei Deng. Preview Tracking Control for a Class of Differentiable Nonlinear Systems. Arabian Journal for Science and Engineering 2018, 43, 3259 -3268.
AMA StyleXiao Yu, Fucheng Liao, Jiamei Deng. Preview Tracking Control for a Class of Differentiable Nonlinear Systems. Arabian Journal for Science and Engineering. 2018; 43 (6):3259-3268.
Chicago/Turabian StyleXiao Yu; Fucheng Liao; Jiamei Deng. 2018. "Preview Tracking Control for a Class of Differentiable Nonlinear Systems." Arabian Journal for Science and Engineering 43, no. 6: 3259-3268.
In this paper, the problem of optimal preview control is studied for a class of linear continuous-time large-scale systems. We first construct an augmented system including the error signal and the reference signal to transform the tracking problem into the regulator problem. Then, the controllers are designed for isolated augmented subsystems, which also constitute the controller of large-scale systems. On the basis of proving the asymptotic stability of closed-loop large-scale systems and the existence of the controller, sufficient conditions for reaching optimal preview control are given. In particular, the limiting condition of the correlation matrices is determined by the fact that the total derivative of a positive definite Lyapunov function is negative definite. The numerical simulation indicates that the controller can drive the large-scale systems to track the reference signal without steady-state error, and the tracking effect is improved with the increasing preview length.
Fucheng Liao; Yu Wang; Yanrong Lu; Jiamei Deng. Optimal preview control for a class of linear continuous-time large-scale systems. Transactions of the Institute of Measurement and Control 2017, 40, 4004 -4013.
AMA StyleFucheng Liao, Yu Wang, Yanrong Lu, Jiamei Deng. Optimal preview control for a class of linear continuous-time large-scale systems. Transactions of the Institute of Measurement and Control. 2017; 40 (14):4004-4013.
Chicago/Turabian StyleFucheng Liao; Yu Wang; Yanrong Lu; Jiamei Deng. 2017. "Optimal preview control for a class of linear continuous-time large-scale systems." Transactions of the Institute of Measurement and Control 40, no. 14: 4004-4013.
This paper investigates the cooperative global optimal preview tracking problem of linear multi-agent systems under the assumption that the output of a leader is a previewable periodic signal and the topology graph contains a directed spanning tree. First, a type of distributed internal model is introduced, and the cooperative preview tracking problem is converted to a global optimal regulation problem of an augmented system. Second, an optimal controller, which can guarantee the asymptotic stability of the augmented system, is obtained by means of the standard linear quadratic optimal preview control theory. Third, on the basis of proving the existence conditions of the controller, sufficient conditions are given for the original problem to be solvable, meanwhile a cooperative global optimal controller with error integral and preview compensation is derived. Finally, the validity of theoretical results is demonstrated by a numerical simulation.
Yanrong Lu; Fucheng Liao; Jiamei Deng; Huiyang Liu. Cooperative global optimal preview tracking control of linear multi-agent systems: an internal model approach. International Journal of Systems Science 2017, 48, 2451 -2462.
AMA StyleYanrong Lu, Fucheng Liao, Jiamei Deng, Huiyang Liu. Cooperative global optimal preview tracking control of linear multi-agent systems: an internal model approach. International Journal of Systems Science. 2017; 48 (12):2451-2462.
Chicago/Turabian StyleYanrong Lu; Fucheng Liao; Jiamei Deng; Huiyang Liu. 2017. "Cooperative global optimal preview tracking control of linear multi-agent systems: an internal model approach." International Journal of Systems Science 48, no. 12: 2451-2462.
Fucheng Liao; Xiao Yu; Jiamei Deng. Absolute stability of time-varying delay Lurie indirect control systems with unbounded coefficients. Advances in Difference Equations 2017, 2017, 283 .
AMA StyleFucheng Liao, Xiao Yu, Jiamei Deng. Absolute stability of time-varying delay Lurie indirect control systems with unbounded coefficients. Advances in Difference Equations. 2017; 2017 (1):283.
Chicago/Turabian StyleFucheng Liao; Xiao Yu; Jiamei Deng. 2017. "Absolute stability of time-varying delay Lurie indirect control systems with unbounded coefficients." Advances in Difference Equations 2017, no. 1: 283.
This paper investigates the problem of H∞ preview tracking control with robust performance for uncertain discrete-time systems. In order to avoid applying the difference operator to the time-varying matrix, by taking advantage of the difference between the system state variables, input variables, and the corresponding auxiliary variables, instead of the usual difference between system states, an augmented error system including previewed information is constructed, which converts the tracking problem into a regulator problem. A sufficient condition based on the free-weighting matrices technique and the Lyapunov stability theory is derived for the robust asymptotic stability of uncertain systems. Moreover, a state feedback control law with preview action design method is obtained via the linear matrix inequality approach. Based on these, a state observer for preview control systems is formulated. Previewable reference signals are fully utilized through reformulation of the output equation while designing the state observer. The proposed construction method of augmented error system is applicable to uncertain discrete-time systems in which the uncertainties are general. Also an integrator is introduced to ensure the closed-loop system tracking performance with no static error. The numerical results also show the effectiveness of the preview control law for uncertain systems in the paper.
Li Li; Fucheng Liao; Jiamei Deng. H ∞ Preview Control of A Class of Uncertain Discrete-Time Systems. Asian Journal of Control 2017, 19, 1542 -1556.
AMA StyleLi Li, Fucheng Liao, Jiamei Deng. H ∞ Preview Control of A Class of Uncertain Discrete-Time Systems. Asian Journal of Control. 2017; 19 (4):1542-1556.
Chicago/Turabian StyleLi Li; Fucheng Liao; Jiamei Deng. 2017. "H ∞ Preview Control of A Class of Uncertain Discrete-Time Systems." Asian Journal of Control 19, no. 4: 1542-1556.
This paper discusses the optimal preview control problem for a class of linear continuous stochastic control systems in the infinite horizon, based on the augmented error system method. Firstly, an assistant system is designed and the state equation is translated to the assistant system. Then, an integrator is introduced to construct a stochastic augmented error system. As a result, the tracking problem is converted to a regulation problem. Secondly, the optimal regulator is solved based on dynamic programming principle for the stochastic system, and the optimal preview controller of the original system is obtained. Compared with the finite horizon, we simplify the performance index. We also study the stability of the stochastic augmented error system and design the observer for the original stochastic system. Finally, the simulation example shows the effectiveness of the conclusion in this paper.
Jiang Wu; Fucheng Liao; Jiamei Deng. Optimal Preview Control for a Class of Linear Continuous Stochastic Control Systems in the Infinite Horizon. Mathematical Problems in Engineering 2016, 2016, 1 -9.
AMA StyleJiang Wu, Fucheng Liao, Jiamei Deng. Optimal Preview Control for a Class of Linear Continuous Stochastic Control Systems in the Infinite Horizon. Mathematical Problems in Engineering. 2016; 2016 ():1-9.
Chicago/Turabian StyleJiang Wu; Fucheng Liao; Jiamei Deng. 2016. "Optimal Preview Control for a Class of Linear Continuous Stochastic Control Systems in the Infinite Horizon." Mathematical Problems in Engineering 2016, no. : 1-9.
This paper presents a method for designing a type one servomechanism for a discrete-time linear system with input delay subject to a previewable desired output and a nonmeasurable constant disturbance. The tracking problem of a delay system is transformed into a regulation problem of a delay-free system via constructing an augmented error system and a variable substitution. A controller is obtained with delay compensation and preview compensation based on preview control theory and the predictor method. When the state vector is not directly measurable, a full-dimensional observer is offered. The effectiveness of the design method is demonstrated by numerical simulations.
Fucheng Liao; Yonglong Liao; Jiamei Deng. The Application of Predictor Feedback in Designing a Preview Controller for Discrete-Time Systems with Input Delay. Mathematical Problems in Engineering 2016, 2016, 1 -10.
AMA StyleFucheng Liao, Yonglong Liao, Jiamei Deng. The Application of Predictor Feedback in Designing a Preview Controller for Discrete-Time Systems with Input Delay. Mathematical Problems in Engineering. 2016; 2016 ():1-10.
Chicago/Turabian StyleFucheng Liao; Yonglong Liao; Jiamei Deng. 2016. "The Application of Predictor Feedback in Designing a Preview Controller for Discrete-Time Systems with Input Delay." Mathematical Problems in Engineering 2016, no. : 1-10.
The turbocharged diesel engine is a typical multi-input multioutput system with strong couplings, actuator constraints, and fast dynamics. This paper addresses the exhaust emission regulation in turbocharged diesel engines using an explicit model predictive control (EMPC) approach, which allows tracking of the time-varying setpoint values generated by the supervisory level controller while satisfying the actuator constraints. The proposed EMPC framework consists of calibration, engine model identification, controller formulation, and state observer design. The proposed EMPC approach has a low computation requirement and is suitable for implementation in the engine control unit on board. The experimental results on a turbocharged Cat C6.6 diesel engine demonstrate that the EMPC controller significantly improves the tracking performance of the exhaust emission variables in comparison with the decoupled single-input single-output control methods.
Dezong Zhao; Cunjia Liu; Richard Stobart; Jiamei Deng; Edward Winward; Guangyu Dong. An Explicit Model Predictive Control Framework for Turbocharged Diesel Engines. IEEE Transactions on Industrial Electronics 2013, 61, 3540 -3552.
AMA StyleDezong Zhao, Cunjia Liu, Richard Stobart, Jiamei Deng, Edward Winward, Guangyu Dong. An Explicit Model Predictive Control Framework for Turbocharged Diesel Engines. IEEE Transactions on Industrial Electronics. 2013; 61 (7):3540-3552.
Chicago/Turabian StyleDezong Zhao; Cunjia Liu; Richard Stobart; Jiamei Deng; Edward Winward; Guangyu Dong. 2013. "An Explicit Model Predictive Control Framework for Turbocharged Diesel Engines." IEEE Transactions on Industrial Electronics 61, no. 7: 3540-3552.
The turbocharged diesel engine is a typical multi-input multi-output (MIMO) system with strong couplings, actuator constraints, and fast dynamics. This paper addresses the air path regulation in turbocharged diesel engines using an explicit model predictive control (EMPC) approach, which allows tracking of the time-varying setpoint values generated by the supervisory level controller while satisfying the actuator constraints. The proposed EMPC framework consists of calibration, engine model identification, controller formulation, and state observer design. The proposed EMPC approach has a low computation requirement and is suitable for implementation in the engine control unit (ECU) on board. The experimental results on a turbocharged Cat ® C6.6 diesel engine illustrate that the EMPC controller significantly improves the tracking performance of the exhaust emission variables against the decentralized single-input single-output (SISO) control method.
Dezong Zhao; Cunjia Liu; Richard Stobart; Jiamei Deng; Edward Winward. Explicit model predictive control on the air path of turbocharged diesel engines. 2013 American Control Conference 2013, 5213 -5218.
AMA StyleDezong Zhao, Cunjia Liu, Richard Stobart, Jiamei Deng, Edward Winward. Explicit model predictive control on the air path of turbocharged diesel engines. 2013 American Control Conference. 2013; ():5213-5218.
Chicago/Turabian StyleDezong Zhao; Cunjia Liu; Richard Stobart; Jiamei Deng; Edward Winward. 2013. "Explicit model predictive control on the air path of turbocharged diesel engines." 2013 American Control Conference , no. : 5213-5218.