基于SVM的最优占空比模型预测电流控制

摘要

In the duty cycle model predictive current control,the applied voltage vector can not be ensured global optimization because voltage vector and its duty cycle are optimized separately. An optimal duty cycle model predictive current control(MPCC)method based on space vector modulation(SVM)was proposed by analysis of the voltage vector selection. In the proposed method,the duty cycle of every voltage vector was calculated firstly. Then, both voltage vector and its voltage vector duty cycle were optimized simultaneously using the cost function,and the applied voltage vector could be ensured global optimization. Besides,SVM was used to synthesize the voltage vector, where a fixed switching frequency was obtained. Experimental results show that the reduced current ripples of the proposed method is effectively.%占空比模型预测电流控制中,由于占空比和电压矢量分开优化,不能保证最终作用的电压矢量是全局最优.通过分析电压矢量的选择过程,提出一种基于空间矢量调制(SVM)的最优占空比模型预测电流控制方法.该方法预先计算每个电压矢量的占空比,然后利用价值函数同时优化出电压矢量及其占空比,可保证最终作用的电压矢量全局最优,并且采用SVM合成电压矢量,确保了开关频率恒定.实验结果表明:所提出方法有效地减小了电流波动.