摘要
提出一种非线性系统的具有自学习模糊控制机制的改进滑模控制方案,该方案能综合模糊控制和滑模控制的优点来取得快速、精确的响应和保证系统的鲁棒性,并采用自学习机制来修正模糊规则库,同时提供了稳定性证明.最后针对一类非线性系统进行了仿真,并给出了系统输出及输入控制量波形.结果表明,此法具有响应快。
An augmented sliding mode control scheme of nonlinear system was proposed with self learning fuzzy control dynamics. It combined the advantages of fuzzy control and sliding mode control to achieve rapid and accurate tracking response. Also included were stability analysis and simulation waves of the control scheme applied to a nonlinear system. The result shows that the scheme has the characteristics of quick response and ideal static performance.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
1999年第4期458-461,共4页
Journal of Shanghai Jiaotong University
关键词
滑模控制
模糊控制
非线性系统
设计
sliding mode control
fuzzy control
nonlinear system
self learning