占空比
控制理论(社会学)
谐波
电压
电流(流体)
计算机科学
病媒控制
工程类
感应电动机
控制(管理)
电气工程
人工智能
作者
Yanping Xu,Baocheng Zhang,Qin Zhou
标识
DOI:10.1109/ipemc.2016.7512402
摘要
In the traditional duty cycle model predictive current control (MPCC), there are still large current ripples because voltage vector and duty cycle is optimized separately, which cannot ensure the applied voltage vector is global optimization. An MPCC method of permanent magnet synchronous motor (PMSM) based on the simultaneous optimization of voltage vector and duty cycle is proposed in this paper. In the proposed MPCC method, the duration of every active-vector is calculated based on the principle of deadbeat q-axis current control firstly. Then, both voltage vector and voltage vector duration are optimized simultaneously in the cost function. Simulation results show that, compared to the traditional duty cycle MPCC, the proposed MPCC method achieve lower current ripples and less current harmonics.
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