Second-Order Terminal Sliding-Mode Speed Controller for Induction Motor Drives With Nonlinear Control Gain

Wang, Bo; Wang, Tianqing; Yu, Yong; Xu, Dianguo

doi:10.1109/tie.2022.3231248

Cited by 19 publications

(6 citation statements)

References 32 publications

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“…In this case, the desired speed tracking effect of PI control will deteriorate. To address the shortcomings of traditional PI controller, many control methods based on modern control theory research have been proposed, such as neural network control, predictive control, fuzzy control, and sliding mode control (SMC) [3][4][5][6] . SMC has advantages such as insensitivity to parameter perturbations, strong anti-interference ability, and fast dynamic response 7 .…”

Section: Introductionmentioning

confidence: 99%

Research on the application of sliding mode control in fault tolerance of PMSM drive system

Zhan,

Zhu,

Yang

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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To achieve unified fault tolerance for motor faults and inverter faults in permanent magnet synchronous motor (PMSM) drive systems, a new three-level inverter fault tolerance topology for PMSM drive system faults is proposed. This topology can carry out fault-tolerant control for as many types as possible at a relatively low hardware cost. Accordingly, a fault-tolerant control algorithm is designed based on adaptive sliding mode control to adaptively control the PMSM drive system under normal conditions and various fault conditions. Simulation and experimental results demonstrate the fault tolerance capability of this fault-tolerant topology structure and the superiority of the sliding mode control algorithm.

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Section: Introductionmentioning

confidence: 99%

Research on the application of sliding mode control in fault tolerance of PMSM drive system

Zhan,

Zhu,

Yang

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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“…Due to its simplicity, obvious performance, and performance, the proportional-integral (PI) regulator constitutes one of the most commonly employed methods of regulation in electrical machines [5]. An efcient nonlinear control may nevertheless enhance activity in an environment of issues and ambiguity since the IM operates within a nonlinear system [6,7]. Several researchers have used a variety of cutting-edge control strategies to manage the power electronics and drive sector in this respect [8].…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network‐Based Experimental Investigations for Sliding Mode Control of an Induction Motor in Power Steering Applications

Parimalasundar,

Senthilkumar,

Kumar

et al. 2023

International Journal of Intelligent Systems

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Sliding mode control (SMC) of induction motor is a new concept in the current scenario, as it seeks to improve torque control accuracy and power steering efficiency through the use of pulse width modulation schemes. Furthermore, artificial neural network-based sliding mode control is applied to a squirrel cage induction motor, which is used in the steering control of automobiles. The artificial neural network (ANN)-based SMC is more popular due to its robustness and good stability in external parameter variation. Additionally, an SMC and an ANN-based SMC are employed to compute the torque and flux, improving performance for power steering applications. The performance of the designed model is validated through MATLAB/Simulink and experimental models with different controllers under various operating conditions. The controller has been embedded into a TMS320F28335 controller, and performances have been evaluated. The performance analyses of induction motor using different controllers are performed. The transient performances of induction motor such as delay time, rise time, settling time, and steady-state error are investigated. The proposed work is analysed by using a mathematical model and implemented in a test-bench model for validation.

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“…In Reference 64, the authors have focused on the design of an adaptive second‐order fast nonsingular terminal sliding mode control procedure for the trajectory tracking of fully actuated autonomous underwater vehicles (AUVs) under dynamic uncertainties and time‐varying external disturbances. For the high‐end industrial application of induction motors (IMs) in Reference 65, the SOTSM speed control scheme is proposed for induction motor drives with nonlinear control gain. A T‐S fuzzy‐logic theory combined with adaptive SOTSM control strategy for autonomous vehicle modeling and lateral control is presented in Reference 66.…”

Section: Introductionmentioning

confidence: 99%

Adaptive non‐singular second‐order terminal sliding mode control for cyber‐physical systems subject to actuator cyber‐attacks and unwanted disturbances

Nemati,

Peimani,

Mobayen

et al. 2023

Adaptive Control & Signal

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SummaryIn this study, a novel strategy of the adaptive non‐singular second‐order terminal sliding mode (SOTSM) control technique for the finite time stabilization of cyber‐physical systems (CPSs) is proposed. By utilizing the proposed nonlinear sliding surface, the reaching phase is obliterated and the entire system's robust operation is ameliorated. The offered online adaptive laws deal with the unwanted disturbances and cyber‐attacks, so that there is no need to identify their upper bounds. The designed adaptive non‐singular SOTSM control technique provides the strong robustness of CPSs in the presence of the unwanted disturbances and cyber‐attacks. Also, it guarantees high precision, pliable performance, fast response, smooth control, chattering‐free operation without transient oscillations, and appropriate convergence in the finite time. Numerical simulation results demonstrate effectiveness and success of the proposed adaptive non‐singular SOTSM control technique compared to the results of state feedback control (SFC), conventional sliding mode control (SMC), and integral‐type SMC methods.

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Second-Order Terminal Sliding-Mode Speed Controller for Induction Motor Drives With Nonlinear Control Gain

Cited by 19 publications

References 32 publications

Research on the application of sliding mode control in fault tolerance of PMSM drive system

Research on the application of sliding mode control in fault tolerance of PMSM drive system

Artificial Neural Network‐Based Experimental Investigations for Sliding Mode Control of an Induction Motor in Power Steering Applications

Adaptive non‐singular second‐order terminal sliding mode control for cyber‐physical systems subject to actuator cyber‐attacks and unwanted disturbances

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