摘要
针对目前国内外尚缺乏模糊控制系统设计与性能分析的一般方法 ,研究了基于动态全局模型的模糊控制系统的系统化设计与稳定性分析方法 .被控的模糊系统由一组动态模糊状态空间模型表示 ,该模型可看作是T S模糊模型的扩展 .整个模糊系统的模糊控制器的设计思路是 :根据期望的闭环极点找到每一子系统的局部状态反馈控制器 ,然后由主导局部子系统来构造全局模糊控制器 .分析了整个闭环模糊控制系统的稳定性并提出了利用补偿控制来保证该闭环模糊控制系统稳定的新方法 .仿真实例验证了所提方法的有效性 .
A new method of systematic design and stability analysis for fuzzy control system based on dynamic global models is presented in this paper.The fuzzy system to be controlled is represented by a family of local dynamic fuzzy state space models, which can be recognized as an extension of Takagi Sugeno′s model. The design of the fuzzy controller for the whole fuzzy system is accomplished, first by finding the local state feedback controllers for each subsystem with the desired closed up poles, and then by constructing the global controller from the dominant local subsystem.The stability of the whole closed loop fuzzy system is studied and a compensating control is proposed to guarantee the stability of the closed up fuzzy control system.A numerical example is given for demonstration of the performance of the method.
出处
《中南工业大学学报》
CSCD
北大核心
2001年第2期200-203,共4页
Journal of Central South University of Technology(Natural Science)
基金
国家自然科学基金资助项目 !(699740 43 )
中国高校博士点基金资助项目! (990 5 3 3 17)
湖南省自然科学基金资助项目!(99JJY2 0 0
