基于混合狼群算法的永磁同步电机状态反馈控制

State Feedback Control of Permanent Magnet Synchronous Motor Based on Hybrid Wolf Pack Algorithm

为提高永磁同步电机的控制精确,减少超调带来的影响,提出了一种基于混合狼群算法的状态反馈控制。以通过电压前馈补偿的线性化的永磁同步电机模型为基础,构建含有转子转速误差和d轴电流误差的离散增广状态空间模型,并构建状态反馈控制器;利用混合狼群算法,通过优化寻求状态反馈控制增益矩阵的全部参数,添加超调惩罚项减少超调带来的影响;算法继承灰狼算法与郊狼算法的优点,同时保证算法的快速收敛性与全局性。基于Matlab/Simulink进行仿真验证,并与其它控制器进行比较,结果表明带有惩罚项的状态反馈控制器具有快响应,零超调的优越性。

In order to improve the control accuracy of the synchronous motor and reduce the influence of overshoot, a state feedback control based on the hybrid wolf pack algorithm was proposed. Based on the linearized permanent magnet synchronous motor model through voltage feedforward compensation, a discrete augmented state space model containing rotor speed error and d-axis current error was constructed, and a state feedback controller was constructed. The optimization sought all parameters of the state feedback control gain matrix, and the overshoot penalty term was added to reduce the impact of overshoot;the algorithm inherits the advantages of the gray wolf algorithm and the coyote algorithm, while ensuring the fast convergence and globality of the algorithm. The simulation verification based on Matlab/Simulink and the comparison with other controllers show that the state feedback controller with penalty term has the advantages of fast response and zero overshoot.