智能控制的任务适应算法

Task Adapting Algorithm of Intelligent Control

控制系统各种各样,完成的任务和工作方式不同,对系统性能的要求也不一样。目前,传统控制理论中的各种动态性能指标只能作为智能控制的事后评价标准,无法作为智能控制系统的设计依据。文中以分层递阶智能控制为基础框架,提出了基于控制任务的某些时域性能指标的智能控制任务适应算法,对运行控制级动态建立特征模型,迫使系统逼近理想控制轨迹。

The tasks and the working modes of various control systems are different, so does thedesire of system performance. Now, all kinds of dynamic performance indexes of the traditionalcontrol theories can only evaluate the intelligent control effects afierwards, and can't guide theesign of intelligent control systems. Here, based on the Hierarchical Intelligsent Control,according to some time-domain performance of control tasks, the task-adapting algorithnl of theintelligent control dynamic constructs characteristic models of the moving control level to forcethe system around the proper track.