Anti-Disturbance Cooperative Fuzzy Tracking Control of Multi-PMSMs Low-Speed Urban Rail Traction Systems

Dai, Yuchen; Zhang, Liyan; Xu, Dazhuan; Chen, Qihong; Yan, Xiangwu

doi:10.1109/tte.2021.3133316

Cited by 15 publications

(9 citation statements)

References 31 publications

(32 reference statements)

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“…The effectiveness of the proposed fixed-time sliding mode observer-based multi-faults estimation method is verified by a PMSM synchronization system described in the work by Dai et al (2022). Considering the actuator faults and sensor faults, the PMSM dynamic model is established.…”

Section: Application To Pmsm Synchronization Systemsmentioning

confidence: 95%

“…The proposed fixed-time multi-faults estimation method is applied to the PMSM synchronization system described in the work by Dai et al (2022), and the system topology is shown in Figure 2. In the work by Dai et al (2022), the control objective of the system is to ensure that the angular velocities of all PMSMs are consistent under external disturbances. On the basis of the work by Dai et al (2022), the actuator faults and sensor faults of the PMSM synchronization system are considered in this paper, and the faults are unevenly distributed among four PMSMs to test the effectiveness of the proposed fixed-time multi-faults estimation method.…”

Section: System Description and Modelingmentioning

confidence: 99%

“…In the PMSM synchronization system in the work by Dai et al (2022), each agent needs to obtain the information of neighborhood agents. Considering that the sensor faults will result in erroneous information being included in the information interacting between agents, thus the communication protocol designed in the work by Dai et al (2022) needs to be compensated using the estimated sensor fault information. The communication protocol with sensor faults information can be rewritten as…”

Section: System Description and Modelingmentioning

confidence: 99%

“…where 1 i is the neighborhood synchronization error for the ith agent; y i and y j are the sensor outputs of agent i and agent j, respectively; fi:sv and fi:sv are the sensor fault estimates of agent i and agent j, respectively; v i:ref is the reference signal of the i th agent; a ij and b i describe the communication directions between the agents and between the agent and the leader, respectively, which has been defined in the work by Dai et al (2022).…”

Section: System Description and Modelingmentioning

confidence: 99%

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Fixed-time sliding mode observer-based multi-faults estimation method and its application to PMSM drive system

Zhou,

Xu,

Dai

2023

Transactions of the Institute of Measurement and Control

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An integral sliding mode observer-based fixed-time multi-faults estimation method is proposed to solve the problem of fast fault estimation for a class of nonlinear systems with multiple types of faults simultaneously. First, a class of nonlinear systems with actuator and sensor faults is considered, and the original system is transformed into two subsystems through coordinate transformation to decouple the actuator and sensor faults. Then, intermediate variables are introduced to transform sensor faults into actuator faults of the augmented systems. For the transformed system, a fixed-time fault observer based on integral sliding mode is designed to realize the fast estimation of unknown terms, and the fixed-time convergence performance is proved. Moreover, based on the output of the fault observer, the actuator and sensor faults in the original system are reconstructed. Finally, the fault model of the permanent magnet synchronous motor is established in the hardware-in-the-loop platform, and the effectiveness of the designed fault estimation method is verified.

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Section: Application To Pmsm Synchronization Systemsmentioning

confidence: 95%

Section: System Description and Modelingmentioning

confidence: 99%

Section: System Description and Modelingmentioning

confidence: 99%

Section: System Description and Modelingmentioning

confidence: 99%

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Fixed-time sliding mode observer-based multi-faults estimation method and its application to PMSM drive system

Zhou,

Xu,

Dai

2023

Transactions of the Institute of Measurement and Control

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“…PMLSM is a nonlinear, strongly coupled, multivariable system with high requirements for inverters and control algorithms. The traditional AC-DC-AC inverters and control methods can no longer meet the criteria (Dai, Zhang, Xu, Chen, & Yan, 2021).…”

Section: Introductionmentioning

confidence: 99%

A Broad Learning-Based Nonsingular Fast Terminal Sliding Mode Control Approach for Indirect Matrix Converter-Driven Permanent Magnet Linear Synchronous Motors

Yang

Fan

et al. 2022

Preprint

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To further improve the fast and stability of indirect matrix converter- driven permanent magnet linear synchronous motor control system, a nonsingular fast terminal sliding mode control algorithm based on disturbance observer is proposed in this paper. First, to realize the fast and accurate tracking control of the position reference signal, a nonlinear fast terminal sliding mode is introduced; secondly, to reduce the effects of load perturbations and parameter variations on the control effect, a broad learning-based disturbance observer is designed for feedforward compensation of disturbances to make full use of the excellent nonlinear approximation capability of broad learning; finally, simulation models are built on the MATLAB/Simulink platform, and the results are verified by comparing with other control methods.

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A stochastic configuration networks-based nonsingular fast terminal sliding mode control approach for indirect matrix converter-driven permanent magnet linear synchronous motors

Yang

Fan

et al. 2023

Industrial Artificial Intelligence

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To further improve the fast and stability of the control system of an indirect matrix converter (IMC) driven permanent magnet linear synchronous motor (PMLSM), a nonsingular fast terminal sliding mode control (NFTSMC) algorithm based on the disturbance observer of stochastic configuration networks (SCNs) is proposed. The NFTSMC algorithm is used to design the outer loop controller, which can reduce the influence of the IMC by the power supply voltage and high-frequency harmonics generated by switching. To further reduce the disturbance of IMC-PMLSM during operation, in this paper, a nonlinear disturbance observer based on SCNs is constructed, which solves the drawback that the traditional disturbance observer needs to adjust the parameters frequently under different working conditions. Finally, a simulation model is established on the MATLAB/Simulink platform to verify the effectiveness and advantages of the proposed control method.

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Anti-Disturbance Cooperative Fuzzy Tracking Control of Multi-PMSMs Low-Speed Urban Rail Traction Systems

Abstract: The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record.

Cited by 15 publications

References 31 publications

Fixed-time sliding mode observer-based multi-faults estimation method and its application to PMSM drive system

Fixed-time sliding mode observer-based multi-faults estimation method and its application to PMSM drive system

A Broad Learning-Based Nonsingular Fast Terminal Sliding Mode Control Approach for Indirect Matrix Converter-Driven Permanent Magnet Linear Synchronous Motors

A stochastic configuration networks-based nonsingular fast terminal sliding mode control approach for indirect matrix converter-driven permanent magnet linear synchronous motors

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