自抗扰控制器参数整定与优化方法研究

On Parameters Tuning and Optimization of Active Disturbance Rejection Controller

根据自抗扰控制器(ADRC)对系统按所谓"时间尺度"来进行分类的特点,提出一种基于"时间尺度"模型识别和遗传算法的ADRC参数自整定及优化的方法。仿真表明:用简单线性模型对实际过程"时间尺度"的辨识简便易行。加入惩罚策略的浮点遗传优化算法能高效地完成控制器众多参数的大范围寻优,摆脱了ADRC控制器参数整定和优化对经验的依赖,具有广泛的应用价值。

According to the characteristic that active disturbance rejection controller (ADRC) classifies systems by the principle of time scale, a new method is presented for ADRC parameters adjustment and optimization based on time scale model identifying and genetic algorithm ( GA) . The simulation indicates that the method for using a linear model to identify the time scale of real process is simple and effective. The GA with the penalty strategy can efficiently solve the problem for ADRC parameters optimizing in a large scope. At the same time, it does not depend on the experience of human during ADRC parameters adjusting and optimizing. So it is a practical method for ADRC application.