双馈发电机的TS-PID模糊控制算法仿真研究

Simulation on TS-PID Control Algorism of Doubly-fed Induction Generator

研究发电机控制器设计优化问题。针对常规PID控制算法鲁棒性差和响应速度低的问题,从电机学基本原理出发,建立了双馈感应发电机的动态数学模型。根据其数学模型的非线性特性,提出了基于TS模型的PID模糊控制算法。在数学建模的基础上,将PID控制算法和TS-PID模糊控制算法用于双馈感应发电机有功功率控制问题中,并对发电机的PID控制器和TS-PID控制器分别进行了仿真。仿真结果表明:采用TS模型的模糊PID控制方法比常规PID具有更大范围的鲁棒性与稳定性。

The paper established a dynamic mathematic model for doubly-fed induction generator based on the theory of induction motor.Aiming at conquering the problem of lower robustness and response speed,according to the nonlinear character of doubly-fed induction generator mathematic model,doubly-fed induction generator based on fuzzy control of TS-PID was proposed.By comparing normal PID control with TS-PID fuzzy control,the two control methods were studied in theory.The experiment Results verify that compared with the normal PID,using TS-PID fuzzy control has better robustness and stability,and according to Matlab/Simulink,controlling doubly-fed induction generator based on TS-PID fuzzy control has feasibility and validity.