摘要
本文证明了无静差控制的必要条件 ;提出了自衡对象位移无静差控制量的一步预估算法 ,并将其用于模糊控制中 ,得到了一类自学习模糊控制器。该控制器利用自学习算法对无静差控制量进行自寻优 ,动态优化模糊控制量表。优化过程计算量小 ,适合于实时控制。仿真结果表明 ,即使对象增益可变或者未知 ,该控制器均能实现对给定阶跃信号的无静差跟踪。
The necessary condition of control with zero steady state error was proven in this paper. A one step predictive algorithm of control value for self stable plants was presented. Sequentially a class of self learning fuzzy controller was obtained by using the algorithm. The controller optimized the control table dynamically. The computation of the optimization was simple which fit for real time control. The simulation results show that the given step signal can be tracked with zero steady state error even the gain of the plant is variable or unknown.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2001年第2期165-167,171,共4页
Chinese Journal of Scientific Instrument
基金
教育部博士点基金
浙江省自然科学基金
