基于蜂群算法的矩阵变换器ADRC参数优化

ADRC parameter optimization of matrix converter based on ABC

矩阵变换器由于其电力直接变换特性使得输出侧性能极易受扰动影响。针对间接空间矢量调制的矩阵变换器加入了一种与对象模型无关的自抗扰控制器对其进行闭环控制。由于自抗扰控制器在实际应用中参数多、调参困难等问题,影响自抗扰控制器在矩阵变换器系统中的使用。为此,在矩阵变换器闭环系统中对自抗扰控制器参数运用人工蜂群算法进行寻优调整。该算法在每次寻找适应度函数最优值时都进行全局和局部搜索,避免局部最优,且收敛速度快,相对人工整定参数大大提高了效率和准确度。实验结果表明:采用人工蜂群算法进行参数寻优,不仅可以保证矩阵变换器输出侧电压质量,而且提高了自抗扰控制器的参数整定效率,保证自抗扰控制器运用到矩阵变换器闭环控制中。

Due to the direct conversion characteristics of the matrix converter, the output side performance is very susceptible to disturbance. A model-independent Auto Disturbance Rejection Controller (ADRC) is added to the matrix converter with indirect space vector modulation for its closed-loop control. Because the ADRC controller has many parameters in practical application and difficult to adjust parameters, it will affect the use of ADRC rejection controller in matrix converter system. In this paper, an Artificial Bee Colony (ABC) algorithm is used to optimize the parameters of ADRC in the closed-loop system of matrix converter. The algorithm performs global and local search at every time when finding the optimal value of fitness function, which avoids local optimum and has fast convergence speed. The relative artificial tuning parameters greatly improve the efficiency and accuracy. Experimental results show that using artificial ABC to optimize parameters can not only ensure the output voltage quality of matrix converter, but also improve the parameter tuning efficiency of ADRC, guaranteeing the ADRC being applied to the closed loop control of matrix converter.