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传统的三相变换器模型预测控制(MPC)需采用交流电动势传感器,从而降低了系统可靠性。提出了无交流电动势传感器的三相变流器模型预测控制,通过直流母线电压、开关信号和交流电流构建虚拟磁链观测器,建立了基于虚拟磁链定向的三相变流器模型预测控制二次规划数学模型(QP-MPC),利用二次规划算法使系统快速计算出最优变化量,最小化目标函数,得出最优的开关管控制信号,从而优化系统性能。仿真验证了所提控制策略的有效性。
The traditional three-phase converter model predictive control (MPC) requires the use of AC emf sensors, reducing system reliability. A three-phase converter model predictive control without AC emf sensor is proposed. The virtual flux observer is constructed by DC bus voltage, switching signal and AC current, and a three-phase converter model predictive control II Sub-planning mathematical model (QP-MPC), the use of quadratic programming algorithm allows the system to quickly calculate the optimal amount of change, minimize the objective function, to obtain the optimal switch control signals to optimize system performance. The simulation verifies the effectiveness of the proposed control strategy.