基于Hammerstein模型的非线性系统辨识方法研究

摘要

The mathematical model of Hammerstein model nonlinear systems in industrial large-scale systems is difficult to obtain accurately, and the traditional PID controller has certain limitations. In order to make the system to run stably ,quickly and accurately, the decentralized identification was employed to transformer the complex nonlinear problem into a familiar linear one. The simulation study shows that this method is effective and practical.%工业大系统中Hammerstein模型的非线性系统,一般都是多输入多输出系统,具有大滞后、大惯性、时变性和强耦合性的特点,它的数学模型难于精确获得;且传统PID控制器无法使控制效果处于最佳状态的局限性.为了更加快速准确控制,使系统更加地稳定工作在最佳工作状态.利用分散辨识方法对Hammerstein模型的非线性系统进行控制,将复杂的非线性问题转化为我们熟悉的线性化问题,近而得到系统工作的最佳状况.实例仿真研究表明了此方法的有效性和实用性.