Deadbeat Direct Current Control Using Dynamic Time Programming for Six-Phase PMSM Drives With Open-Phase Faults

Zhanqing Zhou, Shuaijiang Yao

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS(2023)

引用 0|浏览0
暂无评分
摘要
Due to the influences of the irregular voltage vector distribution, the dynamic optimization problem of six-phase permanent magnet synchronous motor (PMSM) with open-circuit faults is still needed to research. To improve the dynamic ability of six-phase PMSM under open-circuit condition, this article presents a deadbeat direct current control strategy using dynamic time programming, solving the problem of adjusting time optimization under multiobjective complex constraints. Depending on the decoupled transformation matrix, the influences of open-circuit faults on the prediction model and voltage complex plane are analyzed, and the current references under different fault types are given. On this basis, a general control rate for deadbeat fault-tolerant control of six-phase PMSM is constructed, which can achieve high-quality regulation of currents. More importantly, aiming at adjustment time optimization, the standard optimization problem of the transient process is formed, and solved by dynamic programming technology with a core idea of "forward meshing and backward searching". This time the planning procedure is carried out in the receding horizon pattern, to ensure the high-dynamic ability of the six-phase PMSM with open-circuit fault. The experimental results show that the proposed strategy can significantly improve the dynamic performance of the motor under different fault-tolerant modes, and has good algorithm execution efficiency.
更多
查看译文
关键词
Circuit faults,Fault tolerant systems,Fault tolerance,Torque,Predictive models,Optimization,Mathematical models,Deadbeat predictive control,dynamic programming,open-circuit fault,six-phase permanent magnet synchronous motor (PMSM),time planning
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要