摘要
提出了一种不依赖于系统数学模型的解耦控制算法。该算法根据系统当前的已知数据对,对于每个子系统给出一种新的综合衡量指标。该指标可衡量子系统受其他子系统的影响程度,利用一种近似求导法,使解耦控制的学习过程简单且计算量很小,具有实时性。仿真表明该算法具有较好的自适应性和较强的鲁棒性,初始参数的整定简单。
A multivariable decoupling control algorithm is put forward for independent of system model in the paper. Based on current known datum, a new integrated measure guideline is presented. It can estimate decoupling degree among the subsystems. This guideline has learning process of decoupling control algorithm simple and the account load little by using an approximate differential means. It is shown by simulation for self-adjustability better and robustness strong ,and moreover, the original parameter choice simple .
出处
《微机发展》
2003年第3期7-9,共3页
Microcomputer Development
基金
安徽省教育厅资助项目(2001kj005)
