一种应用于异步电机的基于Laguerre函数的模型预测控制电流调节器

发布时间：2018-05-16 23:05

本文选题：异步电机 + 模型预测控制　；参考：《电工技术学报》2017年18期

【摘要】：电动汽车用异步电机复杂的运行工况,造成电机参数改变,传统同步PI控制性能不甚理想。基于复矢量比例积分(PI)控制和模型预测控制(MPC)的电流调节器,使得其控制效果得到一定改善,但仍然存在响应时间长和超调大的问题。针对电动汽车用异步电机控制器,设计一种基于Laguerre函数的模型预测控制(LMPC)电流调节器,该电流控制器根据过去和现在的信息,对系统的状态量进行多步预测,并综合考虑控制对象的预期值和控制量的变化等评价指标,得到最优的控制律。仿真和实验结果表明,该调节器相比于复矢量PI控制和模型预测控制,具有更快的动态响应和更好的参数鲁棒性。
[Abstract]:The complex operating conditions of asynchronous motor for electric vehicles cause motor parameters change, and the performance of traditional synchronous Pi control is not satisfactory. The current regulator based on the complex vector proportional integration (Pi) control and the model predictive control (MPC) improves the control effect to some extent, but it still has the problems of long response time and large overshoot. A model predictive control (LMPC) current regulator based on Laguerre function is designed for asynchronous motor controller for electric vehicles. The current controller predicts the state of the system according to the past and present information. The optimal control law is obtained by synthetically considering the evaluation indexes of the expected value of the control object and the change of the control quantity. Simulation and experimental results show that the controller has faster dynamic response and better parameter robustness than complex vector Pi control and model predictive control.
【作者单位】：北京交通大学电气工程学院;
【基金】：中央高校基本科研业务费项目资助(2015JBM090)
【分类号】：TM343

【相似文献】