Sensorless Control of Segmented PMLSM for Long-Distance Auto-Transportation System Based on Parameter Calibration

Tong, Wen; Wang, Zhongyi; Xiang, Biao; Han, Bangcheng; Li, Haitao

doi:10.1109/access.2020.2998731

Cited by 14 publications

(4 citation statements)

References 31 publications

(22 reference statements)

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“…In most servo control systems, precise actuator position and speed feedback is essential for achieving high-performance control [15]. Traditional PMLSM relies on sensors to obtain position and speed information, but this brings a high cost and limited working place, and the control performance is limited by detection accuracy and other problems [16,17].…”

Section: Introductionmentioning

confidence: 99%

Design of Sensorless Control System for Permanent Magnet Linear Synchronous Motor Based on Parametric Optimization Super-Twisting Sliding Mode Observer

Wang

et al. 2023

Electronics

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To improve the chattering problem caused by the terminal sliding mode control (TSMC) and sliding mode observer (SMO) in permanent magnet synchronous linear motor (PMLSM) control systems, this study presents the design of a continuous terminal sliding mode control (CTSMC) controller and an improved SMO. By enhancing the sliding mode surface, CTSMC enhances the dynamic response and robustness of the system. The observer replaces the traditional sliding mode switching law with a super-twisting (ST) algorithm, a twisting algorithm that makes use of the structural characteristics of the second-order sliding mode to ensure output continuity and reduce the observed buffeting. The sliding mode gain of the ST algorithm is optimized using the particle swarm optimization (PSO) algorithm to acquire the optimal parameters and fully exploit the observer’s performance potential. Finally, the proposed method is simulated and tested. The comparison results show that the proposed method boosts the system’s dynamic response and robustness and reduces chattering.

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Section: Introductionmentioning

confidence: 99%

Design of Sensorless Control System for Permanent Magnet Linear Synchronous Motor Based on Parametric Optimization Super-Twisting Sliding Mode Observer

Wang

et al. 2023

Electronics

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“…The model reference adaptive algorithm realizes the identification of the motor parameters through the appropriate adaptive law. Although it improves the robustness of the system, the design parameters are too many, the system becomes complex, and the dynamic response capability becomes weak [12].…”

Section: Introductionmentioning

confidence: 99%

Design of Sensorless Speed Control System for Permanent Magnet Linear Synchronous Motor Based on Fuzzy Super-Twisted Sliding Mode Observer

Wang

Feng

et al. 2022

Electronics

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To improve the tracking capability and sensorless estimation accuracy of a permanent magnet linear synchronous motor (PMLSM) control system, a sensorless control system based on a continuous terminal sliding mode controller (CT-SMC) and fuzzy super-twisted sliding mode observer (F-ST-SMO) was designed. Compared with a conventional slide mode control, CT-SMC can reach the equilibrium point in limited time to ensure the continuity of control and achieve fast tracking of reference speed. Based on the PMLSM design of F-ST-SMO, a super-twisted sliding mode algorithm is used to replace the traditional first order sliding mode algorithm. Meanwhile, fuzzy rules are introduced to adjust the sliding mode gain adaptively, which replaces the fixed gain of traditional SMO and reduces chattering of the system. Finally, the effectiveness and superiority of the designed control system are proven by simulation and experiment.

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“…In recent years, due to the continuous progress of science and technology and the continuous development of industrial technology, the permanent magnet linear synchronous motor (PMLSM) has been widely used in various fields of social production, such as the vehicle manufacturing industry, intelligent robot control, manufacturing and production processes (Wen et al, 2020;Dong et al, 2021). The PMLSM has the characteristics of fast dynamic response and high control accuracy, giving it greater advantages in the control of the linear drive system than the rotating motor connected with a ball screw (Xu et al, 2020;Zhao et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

A new sensorless control strategy of the PMLSM based on an ultra-local model velocity control system

Zhang

Feng

et al. 2022

Mech. Sci.

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Abstract. To improve the control performance and dynamic response of the permanent magnet linear synchronous motor (PMLSM), a new sensorless control strategy of the PMLSM with the ultra-local model velocity control system is designed in this paper. Firstly, a model-free speed controller (MFSC) is constructed based on the principle of the ultra-local model. Meanwhile, based on the traditional sliding-mode observer (SMO), the back-electromotive force (BEMF) in the SMO is optimized by the model reference adaptive system (MRAS) to improve the observed speed information of the PMLSM. This control strategy improves the dynamic response ability and stability of the PMLSM system. Compared with the traditional motor control strategy, this design gets rid of the dependence on mechanical sensors, improves the dynamic response ability of the PMLSM, and reduces the velocity tracking error. The superiority of the control system is verified by simulation and experiment. Compared with the traditional dual proportional–integral (PI) control system and SMO, the new control strategy can improve the dynamic response performance of the PMLSM, enhance the stability, and track the speed information of the PMLSM with low error to reduce the chatter.

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Sensorless Control of Segmented PMLSM for Long-Distance Auto-Transportation System Based on Parameter Calibration

Cited by 14 publications

References 31 publications

Design of Sensorless Control System for Permanent Magnet Linear Synchronous Motor Based on Parametric Optimization Super-Twisting Sliding Mode Observer

Design of Sensorless Control System for Permanent Magnet Linear Synchronous Motor Based on Parametric Optimization Super-Twisting Sliding Mode Observer

Design of Sensorless Speed Control System for Permanent Magnet Linear Synchronous Motor Based on Fuzzy Super-Twisted Sliding Mode Observer

A new sensorless control strategy of the PMLSM based on an ultra-local model velocity control system

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