Design of Fuzzy Controllers in AC Servo System

2013 ◽  
Vol 668 ◽  
pp. 401-405
Author(s):  
Jian Hong Zhou ◽  
Yan Du ◽  
Zheng Weng

This paper introduces an ac servo control system that uses permanent magnet synchronous motor (PMSM) as object of control. It combines the feature of permanent magnet synchronous motor and servo-control, and designs the fuzzy self-adaptive of PID controller to achieve control of the position loop, speed loop and current loop. The simulation results of Matlab7.9 show that the controller has an excellent controlling effect.

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1118
Author(s):  
Chong-Quan Zhong ◽  
Lin Wang ◽  
Chuan-Fang Xu

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.


2014 ◽  
Vol 680 ◽  
pp. 334-337 ◽  
Author(s):  
Hong Hu ◽  
Ya Xin Cui

This paper studied the fuzzy PID method on controlling permanent magnet synchronous motor servo system. The servo control system consists of the S3C2410 and drive circuit, etc. A fuzzy PID controller is designed by combined fuzzy control with conventional PID control, Fuzzy inference rule of PID parameters is designed according to nonlinear and uncertainty of the PMSM servo system, which would result in changes of characteristic parameters of object or structure. Simulation results indicate that the fuzzy PID controller is superior to the conventional PID controller in dynamic stability performance.


2020 ◽  
pp. 107754632098246
Author(s):  
Peiling Cui ◽  
Fanjun Zheng ◽  
Xinxiu Zhou ◽  
Wensi Li

Permanent magnet synchronous motor always suffers from air gap field distortion and inverter nonlinearity, which lead to the harmonic components in motor currents. A resonant controller is a remarkable control method to eliminate periodic disturbance, whereas the conventional resonant controller is limited by narrow bandwidth and phase lag. This article presents a novel resonant controller with a precise phase compensation method for a permanent magnet synchronous motor to suppress the current harmonics. Based on the analysis of the current harmonic characteristics, the proposed resonant controller for rejecting a set of selected current harmonic components is plugged in the current loop, and it is parallel to the traditional proportional–integral controller. Furthermore, the stability analysis of the proposed resonant controller is investigated, and the parameters are tuned to get a satisfactory performance. Compared with the conventional resonant controller, the proposed resonant controller can achieve good steady-state performance, dynamic performance, and frequency adaptivity performance, simultaneously. Finally, the experimental results demonstrate the effectiveness of the proposed suppression scheme.


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