Chenglong Du

Dr. Chenglong Du

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 November 2017 in IEEE Transactions on Automatic Control
Verified
Journal Article
Closed access
FLFanbiao Li
Fanbiao Li
Chenglong DuChenglong Du
Chenglong Du
CYChao Yang
Chao Yang
WGWeihua Gui
Weihua Gui
This paper is concerned with the problem of passivity-based asynchronous sliding mode control for a class of uncertain singular Markovian jump systems with time-delay and nonlinear perturbations. The asynchronous control strategy is employed due to the non-synchronization between the controlled system and the controller. Considering the singularity of the system, an integral-type sliding surface is constructed, and then the asynchronous sliding controller is synthesized to ensure that the sliding mode dynamics satisfy the reaching condition. Sufficient conditions are presented such that the corresponding sliding mode dynamics are robust stable and stochastic passive. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed technique.

6 May 2019 in IEEE Transactions on Automatic Control
Verified
Journal Article
Closed access
Chenglong DuChenglong Du
Chenglong Du
FLFanbiao Li
Fanbiao Li
CYChao Yang
Chao Yang
This paper investigates an adaptive sliding-mode controller design problem for a class of Markov jump systems with actuator faults. First, a more extensive faults model, which includes actuator loss of effectiveness, outage and stuck, is established. Moreover, a novel sliding surface function is designed and sufficient conditions are established to ensure stochastic stability of the Markov jump systems with known transition probability. Second, based on the adaptive sliding-mode algorithm and the fault compensation algorithm, a comprehensive control law is synthesized not only to overcome the boundary restrictions of actuator loss effectiveness and external disturbances, but also to ensure the properties of stochastic stability and the reachability of the sliding-mode dynamics. Third, an improved stochastically stability criterion, in the case of Markov jump system with uncertain transition probability, is derived based on the homogeneous polynomial matrix technique. Finally, two simulation examples are provided to support the feasibility and effectiveness of the proposed control algorithms.

2 April 2018 in IEEE Transactions on Systems, Man, and Cybernetics: Systems
Verified
Journal Article
Closed access
Chenglong DuChenglong Du
Chenglong Du
CYChao Yang
Chao Yang
FLFanbiao Li
Fanbiao Li
WGWeihua Gui
Weihua Gui
A novel asynchronous control for a class of Markovian jump systems (MJSs) via output feedback sliding mode approach with an artificial time-delay is proposed. The asynchronous control strategy is adopted owing to the nonsynchronization between the controlled system and the controller. In some practical applications, the state variables are often difficult to be measured directly from the outside of the system, which makes the implementation of state feedback technique more complex. However, the output information is always accessible to the system. Therefore, an asynchronous output feedback sliding controller, where an artificial time-delay is introduced in the synthesis of the sliding surface, for MJSs is designed to guarantee the sliding mode dynamics satisfying the reaching condition, and a sufficient condition is derived to ensure the resultant system exponentially stable. Besides, a program of optimization is given to optimize the artificial delay-time. Finally, a numerical simulation and a practical application are given to validate the effectiveness of the proposed technique.

5 March 2024 in Energy
Verified
Journal Article
Closed access
ZCZhengganzhe Chen
Zhengganzhe Chen
BZBin Zhang
Bin Zhang
Chenglong DuChenglong Du
Chenglong Du
WMWei Meng
Wei Meng
AMAnbo Meng
Anbo Meng

1 May 2022 in ISA Transactions
Verified
Journal Article
Closed access
VNVan Trung Nguyen
Van Trung Nguyen
CYChao Yang
Chao Yang
Chenglong DuChenglong Du
Chenglong Du
LLLiqing Liao
Liqing Liao

12 April 2021 in IEEE/ASME Transactions on Mechatronics
Verified
Journal Article
Closed access
Chenglong DuChenglong Du
Chenglong Du
FLFanbiao Li
Fanbiao Li
CYChao Yang
Chao Yang
YSYang Shi
Yang Shi
LLLiqing Liao
Liqing Liao
WGWeihua Gui
Weihua Gui
This article addresses a novel multiphase-based real-time optimal slip ratio tracking control problem of an aircraft antiskid braking system (ABS) based on the second-order sliding-mode approach. First, a comprehensive dynamic model of an aircraft ABS is established, in which the coupling mechanism of the longitudinal, the vertical, and the pitching dynamics of the aircraft are thoroughly considered. Second, for the aircraft ABS with high nonlinearity, since the measurements of aircraft velocity and acceleration cannot be transmitted to the aircraft ABS in time, the second-order sliding-mode differentiator (SMD) will be designed to estimate them simultaneously. Then, the optimal slip ratio signal, which formulates the maximum friction coefficient, will be updated based on the static friction coefficient model with real-time measured and estimated signals. Furthermore, a novel multiphase-based slip ratio regulation algorithm integrated with the second-order sliding-mode control strategy is proposed on the basis of runway characteristics to track the optimal slip ratio signal, which can not only stop the aircraft faster but prevent the mainwheel from final locking. Finally, the simulation results are presented to demonstrate that the aircraft antiskid braking algorithm proposed in this article can effectively prevent the mainwheel from locking under different runway conditions, and significantly improve the braking efficiency.