基于无速度传感器矢量控制技术的传动系统优化及其仿真

Optimizing Control and Simulation of the Speed-sensorless Vector Control System

在分析考虑铁损时异步电机在同步旋转坐标系统下数学模型的基础上,利用扩展卡尔曼滤波器(EKF)算法对电机转速和磁链进行实时估计,通过研究不同运行条件下电机损耗与转子磁通的关系,实现无速度传感器矢量控制变频调速异步电机的优化控制。在Matlab/Simnlink中,提出了交流异步电机控制系统仿真建模的新方法。建立独立的功能模块,如考虑铁损的电机模块、电机转速和磁链估算模块、优化控制模块、SVPWM模块等,再进行功能模块的有机整合,搭建基于扩展卡尔曼滤波器(EKF)考虑铁损的无速度传感器矢量控制系统。仿真结果分析验证了系统能平稳运行,具有较好的静、动态特性,说明了该电机模型更接近实际电机。

Taking the iron loss into account based on the mathematic model of induction motor in rotate coordinate, using the extended Kalman filter reeursive algorithm to estimate the rotor speed and flux of the motor, studying the relation of the motor loss and the rotor flux in different contions, the optimal control for the speed-sensorless vector control system of the induction machine was realized. In Matlab/Simulink, the independent functional blocks, such as moter model block, the speed and flux estimation block, optimal control block, SVPWM etc, were modeled. By the organic combination of these blocks, the model of control system can be established easily. The reasonability and validity were testified by the simulation results.