基于遗传算法的永磁同步电机调速系统PID参数优化

在分析永磁同步电机（PMSM）数学模型的基础上,针对传统PID整定方式存在的不足,引入了遗传算法对PMSM调速系统PID参数进行寻优。在迭代计算过程中采取最优保留策略,保证个体最终收敛于全局最优值。为了实现理想的电机转速控制效果,采用误差绝对值时间积分型目标函数,并在其中加入了超调惩罚项。仿真研究的结果表明,经过遗传算法优化后的PMSM控制系统具有超调量小、调节时间短、鲁棒性好的特点,与传统PID控制相比具有较高的动态品质和稳态精度。

Application of Genetic Algorithm in PID Parameters Optimization for PMSM Speed Servo System

In view of the limitations of conventional methods for PID parameters tuning, a novel optimization strategy based on genetic algorithm was proposed to PMSM speed servo system according to the mathematical model of PMSM. The optimal solution in every generation was reserved to guarantee all individuals to converge to global optimization. For obtaining a perfect motor control effect, an objective function with a time integral to the absolute value of error and an overshoot-punishment item were implemented in the algorithm. Simulation result demonstrated that the PMSM speed servo system with the improved PID parameters worked well with high dynamic and static performance, because of its advantage in quick response, low overshoot and good robustness.