基于遗传算法的PMSM简化转速控制策略

Simplified Speed Control Strategy Based on Genetic Algorithm for PMSM

为了优化永磁同步电机的控制器结构,设计了一种基于遗传算法的永磁同步电机简化转速控制策略。新控制器主要由直接电压控制器构成,利用电机模型来实现精确的转速跟踪,可避免电流调节闭环,简化了控制结构,且不需要依赖电机参数和电压或电流传感器。同时,基于遗传算法确定控制增益,保证了全转速范围内的最大转矩电流比,以避免缺乏电流调节闭环带来更高的能耗。使用永磁同步电机驱动实验平台开展了稳、动态性能测试,结果验证了新控制策略具有和经典控制方案类似的控制性能,但其具有更简单的控制架构,故可成为永磁同步电机低成本实时驱动器的理想选择。

In order to optimize the controller structure of the permanent magnet synchronous motor(PMSM),a simplified speed control strategy for the PMSM based on genetic algorithm(GA)was proposed.The new controller mainly includes a direct voltage controller,which uses the motor model to achieve accurate speed tracking,so the closed loop of current regulation is avoided,and the control structure is simplified,and there is no need to rely on motor parameters and voltage or current sensors. At the same time,the control gains are determined by genetic algorithm to ensure maximum torque per ampere operation at the full range of the machine.Therefore,the problem of the absence of current regulation loops leads to higher energy consumption is solved. Steady state and dynamic performance tests were carried out by the PMSM driving experiment platform.The new control strategy was verified with similar control performance as the classical control scheme by test results. And its control structure is much simpler,so it can be a good candidate for a low-cost implementation of real-time PMSM drives.