自适应动态寻优控制系统仿真研究

Research on Self-adaptive Dynamic Optimizing Control System Simulation

对采用自适应动态寻优方法的极值调节控制系统进行仿真研究,其目的是为解决在工业生产过程中若采用传统的动态寻优方法就必须准确地辨识极值调节控制对象线性部分的参数这一无法回避的难题。对参数飘移的极值调节控制系统进行仿真研究,仿真结果表明,采用自适应动态寻优方法对极值调节控制对象线性部分模型的先验知识要求很少,只需要知道极值调节控制对象的线性部分的阶数就足够了,在动态寻优的过程中不仅能够自动辨识控制对象的参数,而且还能够自动适应参数的飘移。从而可得出如下结论:在实际工业生过程中,若采用自适应动态寻优方法,根本不需要辨识极值调节控制对象线性部分的参数,而且还能够自动适应参数的飘移。从而能有效地保证控制系统运行的连续性与稳定性。因此采用自适应动态寻优方法的极值调节控制系统将会在实际工业生产过程中发挥其强大的控制功能。

In this paper,a simulating research for self- adaptive dynamic optimizing system is presented to solve a never evading problem in practical industrial process by using the previous method. The problem is that accurate identification of the parameters of linear part in the extremum value control plant is too difficult. Simulating research for the extremum value control system with the drift of the parameters is new and creative in this paper. The result of simulation indicates that the new method in this paper only needs much less apriori information concerning the controlled plant, only knowing it enough the order of linear part of the controlled plant. This new method can automatically identify the parameters of control plant, and automatically adapt to the drift of the parameters. Therefore, identification of the parameters of linear part in the extremum value control plant is not need at all,the new method can automatically adapt to drift of the parameters. A continuous and stable operation of the system can be ensured by using the method. It is also expected that this method plays an important role in the desirable industrial process control.