Chaos Suppression for Coupled Electromechanical Torsional Vibrations in a High-Speed Permanent Magnet Synchronous Motor Driven System via Multitime Delayed Feedback Control

2020 ◽  
Vol 30 (09) ◽  
pp. 2050128
Author(s):  
Xing Chen ◽  
Sen Han ◽  
Jun Li ◽  
Shizheng Sun

In this paper, we describe a coupled nonlinear electromechanical torsional vibration model of a high-speed permanent magnet synchronous motor driven system based on the Lagrange–Maxwell theory. The chaotic state is induced by external excitation forces. A multitime delay feedback control scheme is derived to suppress chaos in such vibrations. An analytical criterion condition for chaos is deduced by Melnikov’s method. Detailed numerical studies, including bifurcation diagram, phase portrait, and a Poincaré map, confirm the analytical prediction. It is revealed that the chaotic motion can be effectively suppressed by reducing or increasing the feedback parameters of the multitime delay feedback control scheme.

2013 ◽  
Vol 391 ◽  
pp. 219-222
Author(s):  
Hong Jun Wang ◽  
Ting Ting Yun ◽  
Hui Zhao ◽  
You Jun Yue

This paper studies the permanent-magnet synchronous motor model, taking advantage of enhanced feedback control to realize time-continuous chaos system , with further application of the method in each equation to analyze the effect of the control systems according to the former theory which claims the Hopf theory. The next step is to prove the experimental results consisted with theory analysis and calculation results. The simulation on matlab demonstrates that this method not only improves the quality of chaos but also meets the practical demand.


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 ◽  
...  

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