永磁同步电机优化控制系统建模与仿真

摘要

The control system of Permanent magnet synchronous motor (PMSM) based on model algorithmic control was introduced,due to PMSM's nonlinear and uncertain characters.It synthesizes online prediction speed,feedback output speed and reference speed to calculate increment of optimal control current,and eliminates system uncertain disturbances through real-time monitoring speed change.The ARMA model of PMSM was used as parameter model in optimization control and feedback tuning.The calculation error in the traditional model algorithmic control was optimized.In each output of the controlled process,selecting only one predictive value of a future time to calculate the optimal control law to simplify the calculation process overcomes the shortcomings of the traditional control needed to select the number of prediction steps and required to choose a longer sampling period to calculate the appropriate amount.The optimization model algorithmic control was well positioned to meet the dynamic and rapid motor real-time requirements.By analyzing the system's robustness,it was found that the robustness of system can be guaranteed.Simulation and experimental results verify the proposed control scheme,and show that system is of the better dynamics and static characteristics.%为了降低永磁同步电机本身的非线性及参数的不确定性对整个伺服控制系统的干扰,优化永磁同步电机控制系统.实现综合在线预测转速、反馈输出转速和参考转速求取下一时刻最优的控制电流增量,通过实时监控转速变化消除系统的不确定扰动.用电机的AR模型为内部模型,对传统模型中的系数进行优化,并且只选择未来某一时刻的预测值来计算最优控制律,简化了计算过程从而克服了传统模型算法控制需要选择较长的采样周期才能计算出合适的控制量,能很好地满足动态较快的电动机实时性要求.对系统的稳定性和鲁棒性进行了仿真和实验分析,表明在模型失配时系统稳定,并且增强了鲁棒性.