基于蚁群算法的永磁同步电机多步预测控制  

Multi-Step Model Predictive Control for Permanent Magnet Synchronous Motor Based on Ant Colony Algorithm

作　　者：韩星屹 罗响 赵继敏[1] HAN Xing-yi;LUO Xiang;ZHAO Ji-min(School of Electronic Information and Electrical Engineering,Shanghai Jiaotong University,Shanghai 200240,China)

机构地区：[1]上海交通大学电子信息与电气工程学院,上海200240

出　　处：《计算机仿真》2021年第1期187-192,共6页Computer Simulation

摘　　要：为了提高永磁同步电机驱动系统的效率与动态性能,结合传统矢量控制的特点,研究了一种永磁同步电机多步长预测直接电流控制策略,减少了逆变器开关损耗;为了解决多步长在线预测过程中的计算量过大的问题,提出了一种基于蚁群算法的模型预测控制方法,将连续时刻逆变器开关状态视为蚁群运动轨迹,并根据优化目标在较优路径上留下较强信息素作为正反馈以减少计算量。通过仿真对比,相较于矢量控制与直接转矩控制,上述算法可以明显降低逆变器开关损耗,提高动态响应速度;同时保持较小的总谐波失真。结果表明基于蚁群算法的多步预测能够在较少迭代次数内收敛,保证了在较低逆变器开关损耗下系统的性能。This paper presents a multi-step model predictive current control strategy for permanent magnet synchronous motor(PMSM)and its application to the converters and drives based on the classic field-oriented control(FOC),which reduces the switching loss of the inverter and improves the dynamic performance.In order to reduce the high amount of calculation,we applied the ant colony algorithm to it and regarded the series of inverter switching state as ant's motion trajectory.Stronger pheromones were left as a positive feedback on optimal paths evaluated by the cost function,which enables the algorithm to converge within a few iterations.Also,we built a simulation platform to compare the total harmonic distortion,switching loss and speed response among field-oriented control,direct torque control and multi-step model prediction control.And the result shows that the control strategy can guarantee the control performance with lower switching loss.

关 键 词：模型预测控制 电机驱动 蚁群算法 电流控制 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]