TSMC控制系统中ADRC参数的自适应优化

Adaptive Optimization of ADRC Parameters of TSMC Control Systems

为了提高双级矩阵变换器(TSMC)在电网电压突变和负载扰动时的抗干扰能力,将自抗扰控制技术应用于TSMC的闭环控制,针对自抗扰控制器(ADRC)参数多,整定困难的特点,在ADRC的参数整定过程中应用了自适应遗传算法(AGA)。该算法能够随适应度函数值动态地调整交叉和变异概率,同时为了克服标准遗传算法优化过程中收敛速度慢、稳定性差等问题,对选择算子和交叉算子做了一些改进,从而能方便地找出符合设计要求的一组参数,有效地缩短ADRC的参数调整时间,提高遗传算法的精度。用优化的ADRC对TSMC的输出电压进行闭环控制,仿真结果表明改进的控制器可在一定程度上兼顾TSMC的动态和静态性能。

To improve the robustness of the two-stage matrix converter（TSMC）under fluctuation of grid voltage and abrupt changes of load,a closed-loop control method based on auto disturbance rejection control（ADRC）is proposed.Due to the complexity and difficulty to regulate parameters of the ADRC,a kind of parameter optimization method,the adaptive genetic algorithm（AGA）,is applied to simplify the controller design.This algorithm is able to adjust crossover and mutation probability dynamicly.The best parameters of the controllers could be obtained through AGA quickly and effectively.Using the AGA-ADRC in the closed-loop control of TSMC,the simulation results show that the system has good dynamic,and steady performance.