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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。
In order to improve the anti-jamming ability of two-stage matrix converter (TSMC) in the case of voltage abrupt changes and load disturbances in the power grid, self-disturbance rejection control technology is applied to the closed-loop control of TSMC. According to the parameters of ADRC, The adaptive genetic algorithm (AGA) is used in the ADRC parameter tuning process. The algorithm can dynamically adjust the probability of crossover and mutation with the value of fitness function. In order to overcome the problems of slow convergence and poor stability in the optimization of standard genetic algorithm, some improvements are made to the selection operator and the crossover operator, which makes it convenient Find a set of parameters that meet the design requirements, effectively shorten the ADRC parameter adjustment time, improve the accuracy of genetic algorithm. The output voltage of TSMC is closed-loop controlled by the optimized ADRC. The simulation results show that the improved controller can balance the dynamic and static performance of TSMC to a certain extent.