Abstract
Permanent magnet synchronous motor (PMSM) AC servo system has the characteristics of uncertainty, time-varying, nonlinear and fractional order. Applying the traditional control method is difficult to achieve the desired control effect. The fuzzy control has strong adaptability to the parameter change, nonlinearity and imprecise model of the controlled object. The simulation model of permanent magnet synchronous motor three closed-loop systems is established. The control principle and the realization of space vector pulse width modulation (SVPWM) are studied by using a vector control strategy. Due to the fractional-order characteristic of the motor, a fuzzy logic algorithm is used to realize the parameter self-tuning of the fractional-order proportional integral differential (PID) controller. The controller is selected as the position regulator of the servo motor. It combines the precision of fractional-order PID controller with the adaptability of fuzzy control and adds feed-forward to improve the response speed. The path tracking experiments on several different paths are carried out, and the results show that the control method is effective and can meet the trajectory tracking requirements of servo control. Finally, the speed and position tracking test of the PMSM AC servo system is carried out on the test verification platform, which verifies the effectiveness of the control algorithm.
Highlights
Permanent magnet synchronous motor (PMSM) has the characteristics of strong coupling, non-linearity and fractional-order, which makes the PMSM servo system show some such characteristics [2,3]
Zhang et al [9] proposed a fractional sliding mode control scheme based on self-tuning of fuzzy parameters, which is robust to external load disturbance and parameter change in speed control of permanent magnet synchronous motor
The disadvantages of traditional control and the disadvantages of of variable parameters, non-linearity, time delay and time variation of servo system are variable parameters, non-linearity, time delay and time variation of servo system are overovercome by using the characteristics of fuzzy control such as non-linearity, variable come by using the characteristics of fuzzy controlrobustness
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Zhang et al [9] proposed a fractional sliding mode control scheme based on self-tuning of fuzzy parameters, which is robust to external load disturbance and parameter change in speed control of permanent magnet synchronous motor. Algorithm (HDABCA) has been proposed for designing a fractional-order proportionalintegral (FO-PI) speed controller in a Permanent Magnet Synchronous Motor (PMSM). A new adaptive control strategy, fuzzy integral sliding mode control scheme is proposed, and a new sliding surface of the fraction is designed, which solves the stability of the wind power conversion system of PMSM [16]. Lin et al [19] introduced the adaptive fuzzy control method into fractional-order chaotic systems H∞ synchronization problem.
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