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http://dx.doi.org/10.6113/JPE.2019.19.6.1505

Permanent Magnet Synchronous Motor Control Algorithm Based on Stability Margin and Lyapunov Stability Analysis  

Jie, Hongyu (School of Automation Engineering, University of Electronic Science and Technology of China)
Xu, Hongbing (School of Automation Engineering, University of Electronic Science and Technology of China)
Zheng, Yanbing (School of Automation Engineering, University of Electronic Science and Technology of China)
Xin, Xiaoshuai (School of Automation Engineering, University of Electronic Science and Technology of China)
Zheng, Gang (School of Automation Engineering, University of Electronic Science and Technology of China)
Publication Information
Journal of Power Electronics / v.19, no.6, 2019 , pp. 1505-1514 More about this Journal
Abstract
The permanent magnet synchronous motor (PMSM) is widely used in various fields and the proportional-integral (PI) controller is popular in PMSM control systems. However, the motor parameters are usually unknown, which can lead to a complicated PI controller design and poor performance. In order to design a PI controller with good performance when the motor parameters are unknown, a control algorithm based on stability margin is proposed in this paper. First of all, based on the mathematical model of the PMSM and the least squares (LS) method, motor parameters are estimated offline. Then based on the estimation values of the motor parameters, natural angular frequency and phase margin, a PI controller is designed. Performance indices including the natural angular frequency and the phase margin are used directly to design the PI controller in this paper. Scalar functions of the d-loop and the q-loop are selected. It can be seen that the designed controller parameters satisfy Lyapunov large scale asymptotic stability theory if the natural angular frequencies of the d-loop and the q-loop are large than 0. Experimental results show that the parameter estimation method has good accuracy and the designed PI controller proposed in this paper has good static and dynamic performances.
Keywords
Least squares; Natural angular frequency; Parameter estimation; Permanent magnet synchronous motor; Phase margin; Proportional-integral controller; Stability margin;
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