摘要
针对非线性对象,提出一种线性化模糊内模自适应控制算法。该算法以一组模糊规则作为非线性对象内部模型,一条模糊规则表示一个局部线性系统;根据对象输入与输出测量值,利用TSK建模方法在线辨识局部模糊内部模型;同时依据辨识模型设计局部H2最优模糊控制规则,所有规则构成H2最优模糊控制器。仿真实验显示:该算法适用于非线性对象的控制,具有较好的鲁棒性和抗干扰能力。
A control algorithm which aimed at nonlinear plant is proposed. The control scheme adopts a group of fuzzy rule sets as internal model of the nonlinear plant, where a fuzzy rule set represents a local linear system. This algorithm utilizes TSK modeling scheme to identify fuzzy internal model on line by using the input and output measurement of the plant; at the same time it designs local fuzzy control rule set of linear quadratic optimal ( H 2 ) based on the identified model and all fuzzy control sets consist of H 2 fuzzy controller. It is shown in the simulations that the proposed control method is suitable for nonlinear plant and possesses satisfactory robust performance and disturbance rejection ability.
出处
《控制工程》
CSCD
2003年第6期503-505,567,共4页
Control Engineering of China
