Conventional finite control set model predictive control(FCS-MPC) is emerging as a popular control scheme in power converter,because it takes the superior performance into account and offers a direct control strategy.However,FCS-MPC requires to evaluate the cost function for each discrete switching state which poses high computation burden.Thus,an improved MPC algorithm is proposed.Compared with the conventional FCS-MPC,the proposed method does not require loop optimization and the predictive time is short,which makes it easy to obtain digital realization.Experimental tests are carried out in the two-level pulse width modulation(PWM) rectifier prototype.The results verify the effectiveness of the proposed algorithm.%传统有限状态-模型预测控制(FCS-MPC)由于控制方式直接、控制性能优越而广泛应用于功率变换系统,但其在指标函数寻优时需考虑所有开关状态所对应的电压矢量,计算量较大.针对该问题,提出一种改进的MPC算法,与传统FCS-MPC方法相比,该方法无需循环寻优,预测耗时少,易于数字化实现.在两电平脉宽调制(PWM)整流器样机上的实验结果表明了所提方法的有效性和优越性.
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