Decoupling control of single winding bearingless switched reluctance motors based on support vector machine inverse system

2014 ◽  
Author(s):  
Kai Yang ◽  
Zhiying Zhu ◽  
Yukun Sun
Keyword(s):  
Support Vector Machine ◽  
Inverse System ◽  
Decoupling Control ◽  
Support Vector ◽  
Switched Reluctance Motors ◽  
Switched Reluctance

Decoupling Control of Bearingless Induction Motor Based on LS-SVM Inverse System

2014 ◽  
Vol 703 ◽  
pp. 331-334 ◽  
Author(s):  
Lu Ting Miao ◽  
Yu Xin Sun ◽  
Huang Qiu Zhu ◽  
Xian Xing Liu
Keyword(s):  
Support Vector Machine ◽  
Least Squares ◽  
Induction Motor ◽  
Inverse System ◽  
Decoupling Control ◽  
Support Vector ◽  
Electromagnetic Torque ◽  
Fuzzy Pid Control ◽  
Machine Method ◽  
Static State

According to the strong coupling between the electromagnetic torque and radial suspension force, and the difficulty of establishing a precise mathematical model of bearingless induction motor, least squares support vector machine is proposed in this paper. The inverse model approximated by the LS-SVM is connected with the original system, decoupling a complex nonlinear multivariable system into four relatively independent pseudo-linear sub-systems of single input and single output. At the same time, fuzzy PID control strategy is introduced to the pseudo linear system to ensure the robustness and anti-jamming ability of the control system. Then the performance is simulated with Matlab/ Simulink. The theory research and simulation experiment have validated that the decoupling control of inverse system based on least squares support vector machine method can be successfully realized, which between the electromagnetic torque and radial suspension force, and the good performance of dynamic and static state of system can be also obtained.

scholarly journals Decoupling Control for Dual-Winding Bearingless Switched Reluctance Motor Based on Improved Inverse System Method

2017 ◽  
Vol 2017 ◽  
pp. 1-17 ◽  
Author(s):  
Zhiying Zhu ◽  
Yukun Sun ◽  
Ye Yuan
Keyword(s):  
High Speed ◽  
Switched Reluctance Motor ◽  
Inverse System ◽  
Decoupling Control ◽  
System Stability ◽  
Dynamic Compensation ◽  
Switched Reluctance ◽  
Inverse System Method ◽  
System Method ◽  
Reluctance Motor

Dual-winding bearingless switched reluctance motor (BSRM) is a multivariable high-nonlinear system characterized by strong coupling, and it is not completely reversible. In this paper, a new decoupling control strategy based on improved inverse system method is proposed. Robust servo regulator is adopted for the decoupled plants to guarantee control performances and robustness. A phase dynamic compensation filter is also designed to improve system stability at high-speed. In order to explain the advantages of the proposed method, traditional methods are compared. The tracking and decoupling characteristics as well as disturbance rejection and robustness are deeply analyzed. Simulation and experiments results show that the decoupling control of dual-winding BSRM in both reversible and irreversible domains can be successfully resolved with the improved inverse system method. The stability and robustness problems induced by inverse controller can be effectively solved by introducing robust servo regulator and dynamic compensation filter.

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