Adaptive robust control for high-speed permanent magnet synchronous motor systems

Author(s):  
Menglan Zhou ◽  
Yifei Wu ◽  
Lu Zhong ◽  
Qingwei Chen ◽  
Jian Guo
2012 ◽  
Vol 220-223 ◽  
pp. 1040-1043
Author(s):  
Hong Cui ◽  
You Qing Gao

High-speed permanent magnet synchronous motor (PMSM) is more and more widely applied in high precision processing and high-performance machines. It is very important to research practical control strategy for the stability operation of the high-speed PMSM. The strategy of sensorless grey prediction fuzzy direct torque control (DTC) is proposed which is suitable for high-speed PMSM control system. The method of prediction fuzzy control based on DTC is used to gain the flux, torque and flux oriented angle through the prediction model of the motor parameters. The best control scheme is gained by fuzzy reasoning to overcome the lag on the system making the adjustment process stable and realizing accurate predictive control. Thereby, the dynamic response of the system, anti-disturbance capability and control accuracy can be improved.


2019 ◽  
Vol 59 (2) ◽  
pp. 755-764
Author(s):  
Hao Lin ◽  
Haipeng Geng ◽  
Tingchen Du ◽  
Xiangming Xu ◽  
Yanyan Zhang ◽  
...  

2011 ◽  
Vol 346 ◽  
pp. 166-171
Author(s):  
Yu Liang Liu ◽  
Juan Yi Liu ◽  
Guo Ping Liu

Chaos behavior has many advantages in motor systems such as improving mixing efficiency and it involves with one kind of problem called chaos anti-control. This paper focused on chaos anti-control problem in permanent magnet synchronous motor (PMSM) systems through chaos synchronization. By synchronizing PMSM system with a typical chaotic system, the chaos anti-control problem was studied, where a controller was derived to make the error dynamical system converge at origin point O(0, 0, 0). The theory foundation in point is Lyapunov stability theorem, and the study conclusion was verified by numerical simulations.


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