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Adaptive Dynamic Sliding Mode Control of Permanent Magnet Linear Synchronous Motor Based on Feedback Linearization |
Zhang Kang, Wang Limei |
School of Electrical Engineering Shenyang University of Technology Shenyang 110870 China |
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Abstract In the high-speed and high-precision permanent magnet linear synchronous motor servo system, the nonlinear coupling between direct axis current and quadrature axis current, linear speed and current, as well as parameter perturbation and load disturbance, seriously affected the speed tracking accuracy and response speed. In this paper, the feedback linearization control method was used to decouple and linearize the affine nonlinear model of the motor into independent current subsystem and linear speed subsystem through coordinate transformation and state feedback. Based on the linearization model, a dynamic sliding mode controller was designed to reduce the dependence of the feedback linearization control on the linear motor mathematical model and improve the robustness of the servo system. At the same time, an adaptive control law was designed to estimate the uncertain disturbance and weaken the chattering phenomenon. Simulation and experimental results show that the proposed control strategy can effectively improve the speed tracking performance and enhance the robustness of the system.
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Received: 30 June 2020
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