基于串联型自抗扰控制器的逐次求精法

Successive Approximation by Cascade Auto Disturbance Rejection Controller

利用模型补偿自抗扰控制器辨识系统参数 ,对于低阶系统取得了满意的辨识效果。但在用上述方法进行高阶系统参数的辨识时 ,还存在扩张状态观测器参数不易调整的问题。笔者将串联型扩张状态观测器构成的自抗扰控制器运用于参数辨识的逐次求精法 ,能有效地辨识出系统的参数。特别是在辨识高阶系统参数时 ,具有扩张状态观测器参数易调的优点。

An algorithm of parameter identification by model compensation auto disturbance rejection controller is given. It is very efficient to the parameter identification problems of low order systems. At the same time it is not easy to get satisfying parameters of the extended state observer when the order of the controlled system is high. To solve the above problem, we combine in this paper the auto disturbance rejection controller constructed by cascade extended state observer(CESO) with the algorithm of successive approximation. Simulations show it can identify the parameter of systems with known structure effectively. In the meantime, the parameters of CESO are much easier to adjust than those of the former ESO when it is applied to high order systems.