Sensorless Voltage Model Control of Permanent Magnet Synchronous Motor Based on Two-Dimensional Cloud Model Online Optimization
Wei Haifeng1, Wei Hanpei1,2, Zhang Yi1
1.School of Electronics and Information Jiangsu University of Science and Technology Zhenjiang212000 China; 2. Leader Harmonious Drive Systems Co.LtdSuzhou 215000 China
Abstract:A sensorless voltage model control algorithm for permanent magnet synchronous motor(PMSM) is proposed, and it is based on intelligent PID(IPID) of two-dimensional cloud model online optimization. In order to obtain a relatively accurate motor speed and rotor position estimation, in virtual γ-δ rotating coordinate system, real-time correction of motor speed error is made by the difference between actual and ideal voltage value. Meanwhile, a kind of IPID with parameter dynamic real-time self-tuning function is designed to adjust the speed and current in voltage model control. By introducing the chaos particle swarm optimization algorithm to optimize the control parameters off-line, the whole control system is in the optimized state, then the two-dimensional cloud model online adjustment module is used to do real-time tuning. The experimental results show the new control algorithm proposed in this paper can accurately estimate the motor speed and rotor position, and it has strong robustness to motor internal parameter perturbation and external load disturbance.
魏海峰, 韦汉培, 张懿. 二维云模型在线优化永磁同步电机无传感器电压模型控制[J]. 电工技术学报, 2017, 32(23): 51-60.
Wei Haifeng, Wei Hanpei, Zhang Yi. Sensorless Voltage Model Control of Permanent Magnet Synchronous Motor Based on Two-Dimensional Cloud Model Online Optimization. Transactions of China Electrotechnical Society, 2017, 32(23): 51-60.
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