Predictive Current Control Strategy of Permanent Magnet Synchronous Motors with High Performance
Zhang Huixuan1,2, Fan Tao1,2, Bian Yuanjun1,2, Wen Xuhui1,2, Sun Hongyan1
1. Institute of Electrical Engineering Chinese Academy of Sciences Beijing 100190 China; 2. University of Chinese Academy of Sciences Beijing 100049 China
Abstract:High performance control system of permanent magnet synchronous motor (PMSM) requires high dynamic performance of current loop. Traditional PI control method has limited bandwidth and is prone to overshoot. The deadbeat control algorithm based on current prediction has a good dynamic performance. Therefore, an improved deadbeat control algorithm based on timing optimization is proposed. The current controller samples the current instruction piecewise, then calculates the compensation value of the voltage instruction, thus eliminating the one beat lagging of the original current instruction. Meanwhile, the deviation of voltage caused by non-ideal factors of power devices and time delay effect is analyzed, and a voltage reconstruction algorithm is introduced to reduce the influence of instruction error on current tracking precision. Simulation and experimental results showed that the improved current prediction algorithm can effectively improve both the dynamic performance and steady-state precision of the current loop.
章回炫, 范涛, 边元均, 温旭辉, 孙鸿雁. 永磁同步电机高性能电流预测控制[J]. 电工技术学报, 2022, 37(17): 4335-4345.
Zhang Huixuan, Fan Tao, Bian Yuanjun, Wen Xuhui, Sun Hongyan. Predictive Current Control Strategy of Permanent Magnet Synchronous Motors with High Performance. Transactions of China Electrotechnical Society, 2022, 37(17): 4335-4345.
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