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This paper firstly adopts a fault accommodation structure, a five-phase permanent magnet synchronous generator (PMSG) with trapezoidal back-electromagnetic forces, in order to enhance the fault tolerance of tidal current energy conversion systems. Meanwhile, a fault-tolerant control (FTC) method is proposed using multiple second-order generalized integrators (multiple SOGIs) to further improve the systematic fault tolerance. Then, additional harmonic disturbances from phase current or back-electromagnetic forces in original and Park’s frames are characterized under a single-phase open condition. Relying on a classical field-oriented vector control scheme, fault-tolerant composite controllers are then reconfigured using multiple SOGIs by compensating q-axis control commands. Finally, a real power-scale simulation setup with a gearless back-to-back tidal current energy conversion chain and a small power-scale laboratory prototype in machine side are established to comprehensively validate feasibility and fault tolerance of the proposed method. Simulation results show that the proposed method is able to suppress the main harmonic disturbances and maintain a satisfactory fault tolerance when third harmonic flux varies. Experimental results reveal that the proposed model-free fault-tolerant design is simple to implement, which contributes to better fault-tolerant behaviors, higher power quality and lower copper losses. The main advantage of the multiple SOGIs lies in convenient online implementation and efficient multi-harmonic extractions, without considering system’s model parameters. The proposed FTC design provides a model-free fault-tolerant solution to the energy harvested process of actual tidal current energy conversion systems under different working conditions.
Zhuo Liu; Tianhao Tang; Azeddine Houari; Mohamed Machmoum; Mohamed Benkhoris. An FTC Design via Multiple SOGIs with Suppression of Harmonic Disturbances for Five-Phase PMSG-Based Tidal Current Applications. Journal of Marine Science and Engineering 2021, 9, 574 .
AMA StyleZhuo Liu, Tianhao Tang, Azeddine Houari, Mohamed Machmoum, Mohamed Benkhoris. An FTC Design via Multiple SOGIs with Suppression of Harmonic Disturbances for Five-Phase PMSG-Based Tidal Current Applications. Journal of Marine Science and Engineering. 2021; 9 (6):574.
Chicago/Turabian StyleZhuo Liu; Tianhao Tang; Azeddine Houari; Mohamed Machmoum; Mohamed Benkhoris. 2021. "An FTC Design via Multiple SOGIs with Suppression of Harmonic Disturbances for Five-Phase PMSG-Based Tidal Current Applications." Journal of Marine Science and Engineering 9, no. 6: 574.
In recent years, multi-phase permanent magnet synchronous generators (PMSGs) have become attractive in the field of tidal current energy conversion systems (TCECS) due to their high-power density, reliability, and availability. However, external disturbances and malfunctions in power conversion chains will bring challenges to achieving stable and continuous tidal current energy harnessing. Using generalized proportional integral observers, an active fault-tolerant control (AFTC) strategy is therefore proposed for a five-phase PMSG based TCECS that is subjected to an open switch fault (OSF) in the generator side converter. This proposed AFTC strategy is applied into q-axis current control loops, which contain fault detection and compensation. The fault compensator will be smoothly activated using a sigmoid function once the OSF is detected. Finally, a small-scale power experimental platform emulating the TCECS is established in order to verify the feasibility and efficiency of the proposed FTC strategy. Experiment results show that this AFTC strategy can detect faults rapidly and effectively attenuate torque ripples in the post-fault operation mode.
Zhuo Liu; Azeddine Houari; Mohamed Machmoum; Mohamed-Fouad Benkhoris; Tianhao Tang. An Active FTC Strategy Using Generalized Proportional Integral Observers Applied to Five-Phase PMSG based Tidal Current Energy Conversion Systems. Energies 2020, 13, 6645 .
AMA StyleZhuo Liu, Azeddine Houari, Mohamed Machmoum, Mohamed-Fouad Benkhoris, Tianhao Tang. An Active FTC Strategy Using Generalized Proportional Integral Observers Applied to Five-Phase PMSG based Tidal Current Energy Conversion Systems. Energies. 2020; 13 (24):6645.
Chicago/Turabian StyleZhuo Liu; Azeddine Houari; Mohamed Machmoum; Mohamed-Fouad Benkhoris; Tianhao Tang. 2020. "An Active FTC Strategy Using Generalized Proportional Integral Observers Applied to Five-Phase PMSG based Tidal Current Energy Conversion Systems." Energies 13, no. 24: 6645.
Affected by high density, non-uniform, and unstructured seawater environment, fault detection of Marine Current Turbine (MCT) faces various fault features and strong interferences. To solve these problems, a harmonic analysis strategy based on zero-crossing estimation and Empirical Mode Decomposition (EMD) filter banks is proposed. First, the detection problems of rotor imbalance fault under strong interference conditions are described through an analysis of the fault mechanism and operation environment of MCT. Therefore, against various fault features, a zero-crossing estimation is proposed to calculate instantaneous frequency. Last, and in order to solve the problem that the frequency and amplitude of the operating parameters are partially or completely covered by interference, a band-pass filter based on EMD is used, together with a characteristic frequency selected by a Pearson correlation coefficient. This strategy can accurately detect the multiplicative faults under strong interference conditions, and can be applied to the MCT fault detection system. Theoretical and experimental results verify the effectiveness of the proposed strategy.
Milu Zhang; Tianzhen Wang; Tianhao Tang; Zhuo Liu; Christophe Claramunt. A Synchronous Sampling Based Harmonic Analysis Strategy for Marine Current Turbine Monitoring System under Strong Interference Conditions. Energies 2019, 12, 2117 .
AMA StyleMilu Zhang, Tianzhen Wang, Tianhao Tang, Zhuo Liu, Christophe Claramunt. A Synchronous Sampling Based Harmonic Analysis Strategy for Marine Current Turbine Monitoring System under Strong Interference Conditions. Energies. 2019; 12 (11):2117.
Chicago/Turabian StyleMilu Zhang; Tianzhen Wang; Tianhao Tang; Zhuo Liu; Christophe Claramunt. 2019. "A Synchronous Sampling Based Harmonic Analysis Strategy for Marine Current Turbine Monitoring System under Strong Interference Conditions." Energies 12, no. 11: 2117.
Inverts, especially multi-level inverters are widely used in many fields, such as industrial production, transportation, aviation and so on. So great significance should be attached to the diagnosis and fault tolerance of inverters to keep the stability of systems. Data-driven approaches make full use of the process data to monitor the systems, so the voltage signals are collected firstly and then preprocessed and processed by specific strategy, fault labels will be produced hereafter. When the fault labels from data-driven fault detection and diagnosis system are generated, relevant fault tolerant control method will be activated in fault tolerant control system. Some measurements are necessary to achieve the higher utilization ratio of healthy IGBTs and sinusoidal output voltage. Based on above consideration, a group isolation and reconfiguration fault tolerant control method based on data-driven methodology for cascaded seven-level inverter is proposed here to reconfigure the SPWM, in which every H-bridge is divided into two groups. The simulation of cascaded seven-level inverter is built and the result indicates that the utilization of healthy IGBTs is improved.
Jiahui Zhang; Zhuo Liu; Tianzhen Wang; M.E.H. Benbouzid; Yide Wang. An Arm Isolation and Reconfiguration Fault Tolerant Control Method Based on Data-driven Methodology for Cascaded Seven-level Inverter. 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) 2018, 939 -943.
AMA StyleJiahui Zhang, Zhuo Liu, Tianzhen Wang, M.E.H. Benbouzid, Yide Wang. An Arm Isolation and Reconfiguration Fault Tolerant Control Method Based on Data-driven Methodology for Cascaded Seven-level Inverter. 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS). 2018; ():939-943.
Chicago/Turabian StyleJiahui Zhang; Zhuo Liu; Tianzhen Wang; M.E.H. Benbouzid; Yide Wang. 2018. "An Arm Isolation and Reconfiguration Fault Tolerant Control Method Based on Data-driven Methodology for Cascaded Seven-level Inverter." 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) , no. : 939-943.
Cascaded H-bridge Multilevel Inverter (CHMI) is widely used in industrial applications thanks to its many advantages. However, the reliability of a CHMI is decreased with the increase of its levels. Fault diagnosis techniques play a key role in ensuring the reliability of a CHMI. The performance of a fault diagnosis method depends on the characteristics of the extracted features. In practice, some extracted features may be very similar to ensure a good diagnosis performance at some H-bridges of CHMI. The situation becomes even worse in the presence of noise. To fix these problems, in this paper, signal denoising and data preprocessing techniques are firstly developed. Then, a Principal Components Rearrangement method (PCR) is proposed to represent the different features sufficiently distinct from each other. Finally, a PCR-based fault diagnosis strategy is designed. The performance of the proposed strategy is compared with other fault diagnosis strategies, based on a 7-level CHMI hardware platform.
Zhuo Liu; Tianzhen Wang; Tianhao Tang; Yide Wang. A Principal Components Rearrangement Method for Feature Representation and Its Application to the Fault Diagnosis of CHMI. Energies 2017, 10, 1273 .
AMA StyleZhuo Liu, Tianzhen Wang, Tianhao Tang, Yide Wang. A Principal Components Rearrangement Method for Feature Representation and Its Application to the Fault Diagnosis of CHMI. Energies. 2017; 10 (9):1273.
Chicago/Turabian StyleZhuo Liu; Tianzhen Wang; Tianhao Tang; Yide Wang. 2017. "A Principal Components Rearrangement Method for Feature Representation and Its Application to the Fault Diagnosis of CHMI." Energies 10, no. 9: 1273.
Multilevel inverters are widely applied to medium and high voltage industrial fields because of their low harmonics and low requirements of withstand voltages. However, it will be more difficult for fault diagnosis of the power switching devices when the levels of the inverters increase. One of the key factors is the decreased sensitivity between the extracted features and the fault categories. Therefore, a Rearrangement of Principal Components (RePCs) method is proposed for the faulty data of the switching devices in multilevel inverters, which makes the features more representative and enhances the diagnostic efficiency of the inverter system. Besides, a diagnostic strategy is built based on the proposed method. Finally, the proposed feature representation method is verified by the experimental platform.
Zhuo Liu; Tianzhen Wang; Tianhao Tang; Yefan Feng; Junqi Yao; Diju Gao. Feature representation based on a rearrangement of principal components method for fault diagnosis of multilevel inverter. 2017 29th Chinese Control And Decision Conference (CCDC) 2017, 5627 -5632.
AMA StyleZhuo Liu, Tianzhen Wang, Tianhao Tang, Yefan Feng, Junqi Yao, Diju Gao. Feature representation based on a rearrangement of principal components method for fault diagnosis of multilevel inverter. 2017 29th Chinese Control And Decision Conference (CCDC). 2017; ():5627-5632.
Chicago/Turabian StyleZhuo Liu; Tianzhen Wang; Tianhao Tang; Yefan Feng; Junqi Yao; Diju Gao. 2017. "Feature representation based on a rearrangement of principal components method for fault diagnosis of multilevel inverter." 2017 29th Chinese Control And Decision Conference (CCDC) , no. : 5627-5632.
In Modern industrial, bearings are common in rotating machines. The processing data of bearings are nonlinear, and they usually are complicated distribution, which contains both Gaussian and non-Gaussian distributions. If using a single data distribution detection method, it will result in detecting performance degradation. To solve the possible monitoring difficulties of complicated distribution and nonlinear characteristics in industrial systems, this paper proposes a KPCA-KICA-HSSVM hybrid strategy. The proposed method uses KPCA, KICA and HSSVM to establish detection model, these models are work collaboratively in monitoring the real time process data to detect the possible faults. The proposed approach was tested and validated via a set of experimental data collected from a bearing test rig. Experimental results demonstrate the effectiveness of this approach.
Jingjing Dong; Tianzhen Wang; Tianhao Tang; M. E. H. Benbouzid; Zhuo Liu; Diju Gao. Application of a KPCA-KICA-HSSVM hybrid strategy in bearing fault detection. 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia) 2016, 1863 -1867.
AMA StyleJingjing Dong, Tianzhen Wang, Tianhao Tang, M. E. H. Benbouzid, Zhuo Liu, Diju Gao. Application of a KPCA-KICA-HSSVM hybrid strategy in bearing fault detection. 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia). 2016; ():1863-1867.
Chicago/Turabian StyleJingjing Dong; Tianzhen Wang; Tianhao Tang; M. E. H. Benbouzid; Zhuo Liu; Diju Gao. 2016. "Application of a KPCA-KICA-HSSVM hybrid strategy in bearing fault detection." 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia) , no. : 1863-1867.