改进型预测函数控制在感应电机功率优化中的应用

在对感应电机效率优化问题进行研究的基础上,考虑到传统方法在电机动态时无法同时兼顾响应性能和效率优化的缺陷,设计了一种新型分数阶PI(FOPI)预测函数控制策略.该控制策略将预测函数控制和分数阶PI两种算法相结合,构建具有分数阶比例、积分性质的多变量预测函数控制器,兼顾了感应电机动态效率与转速响应速度的优点.应用于电动机效率优化的最大转矩电流比控制方面,采用前馈补偿解耦设计的思路,将系统分解成两个具有可测扰动的子系统.仿真实验表明新型控制策略具有在线识别模型识别模型参数,跟踪效果好,抗干扰能力强,无超调,稳态误差小,取得了良好的控制效果.

Applications of an Improved Functional Control in Efficiency Optimization for Induction Motor

Based on the study of the induction motor efficiency optimization problem,considering the conventional methods of inability to balance the efficiency optimization and response performance,a new fractional order PI(FOPI) predictive functional control strategy is designed.This strategy has the advantages of both dynamic efficiency and speed response of induction machine,which associates predictive functional control and FOPI.A multivariable predictive functional controller with proportion and integral characteristics is established,and it is applied in the current loop control for induction motor.By using forward and compensation decoupling technique,the two-input two-output system is decomposed into single-input single-output subsystems with measurable disturbance.The simulation experiment not only indicates high tracking precision,strong disturbances rejection and small steady-state errors,but also has good control performance because of the online identification of the parameters.