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机构地区:[1]大连海事大学轮机工程学院,辽宁大连116026
出 处:《电机与控制应用》2015年第9期1-7,13,共8页Electric machines & control application
基 金:国家自然科学基金项目(61273137;51209026);辽宁省教育厅科学研究一般项目(L2013202);中央高校基本科研业务费专项基金项目(3132015021;3132014321)
摘 要:模型预测控制广泛应用于三相电压型逆变器,但该方法在控制过程中存在大量计算,导致系统延时,严重阻碍系统应用。为克服上述难点,提出了一种改进的控制算法,对负载电流进行预测,并结合拉格朗日外推法,得到具有延时补偿的控制策略。以带阻感负载的三相电压型逆变器为控制对象,建立了三相电压型逆变器有限集模型预测控制仿真模型,分析了输出电流的稳态与动态性能,讨论了不同目标函数对系统性能所产生的影响。仿真结果表明:该算法能够准确地跟踪参考电流,解决了传统方法中存在的延时问题,验证了所提补偿方法的有效性。Model predictive control (MPC)is widely applied in the three-phase voltage inverter. However, there is a large amount of calculation during the process of control which leads to the time delay and hinder the application of the MPC. In order to solve this problem, an improved method based on objective function optimization was presented. A delay compensation-based model predictive control strategy was derived by combining the Lagrange extrapolation and the prediction of reference currents. Based on three-phase voltage inverter with a resistive-inductive load, the simulation model of Finite Control Set Model Predictive Control (FCS-MPC) was established, steady and transient performance of output currents was analyzed, the effects on the system performance under different cost functions was discussed. Comparative studies were given to show the effectiveness of the proposedmethod.
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