摘要
针对具有大时滞环节的被控对象难以实现优化控制的问题,设计了一种Fuzzy-Smith控制器.该控制器可充分发挥Smith预估器和模糊控制器的优势,利用模糊控制对参数变化不敏感和鲁棒性强的特点,借助Smith预估器对模糊控制进行有效补偿,以实现对大时滞系统的优化控制.以二阶纯滞后环节为对象进行了仿真分析.仿真研究结果表明:该控制器对大滞后被控对象有较好的补偿作用,对被控对象参数的变化有较强的适应能力,改进的Fuzzy-Smith控制器具有较强的鲁棒性和良好的控制品质.
Aimed at the difficulty in realizing optimizing control for controlled object with big time-delay tache,this paper designs a Fuzzy-smith controller.The controller can realize optimizing control for the system with big time-delay,by sufficiently exerting advantages of both Smith predictor and fuzzy controller,by using the traits of strong robustness and insensitivity of fuzzy control for variety parameter,and by means of Smith predictor carrying through effective compensation for fuzzy controller.Simulation and analysis of two-order pure delay are conducted.The research on the simulation results shows that the designed controller has better compensation for controlled object with big time-delay,and stronger adaptability for controlled object with variety parameter,and the improved Fuzzy-smith controller owns stronger robustness and much better control quality.
出处
《重庆工学院学报(自然科学版)》
2009年第11期95-98,112,共5页
Journal of Chongqing Institute of Technology
基金
重庆市教委科技项目(KJ081702)