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机构地区:[1]西安理工大学电气工程系,陕西西安710048
出 处:《电气传动》2015年第9期3-6,19,共5页Electric Drive
基 金:国家自然科学基金(51107098)
摘 要:对于永磁同步电机(PMSM)调速系统,基于模型预测控制(MPC)的直接转矩控制(DTC)计算量较大,不利于在线实现。深入分析了永磁同步电机定子电流和定子磁链的关系,提出了一种无需电流预测的基于改进模型预测控制的直接转矩控制方法。实验结果表明,所提出的控制方法明显减小了传统直接转矩控制的转矩脉动,同时与传统模型预测控制相比,该方法大大降低了计算量和算法复杂度,更有利于在快速动态系统中实现。For the permanent magnet synchronous motor (PMSM) control system, the traditional model predictive control (MPC) needs large amount of calculation, which is difficult to be implemented online. The relationship between stator current and stator flux of PMSM were analyzed in depth, and an improved model predictive control algorithm without current prediction was proposed. Experimental results show that compared with the traditional direct torque control (DTC) of permanent magnet synchronous motor, the improved model predictive control algorithm reduces torque ripple significantly, and compared with the traditional model predictive control, improved model predictive control algorithm reduces the calculation greatly, which makes this algorithm be conducive to be implemented in the fast dynamic system.
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