摘要
该文提出了一种新的最优模糊PID控制器。该控制器由两部分组成 ,一部分是常规PID控制器 ,另一部分是在线模糊推理机构。在模糊推理机构中 ,引入了三个可调节因子xp,xi,和xd,其作用是优化模糊推理结果。该模糊PID控制器用来控制智能人工腿中的一个直线电机 。
A new kind of optimal fuzzy PID controller is proposed in this paper. The controller contains two parts, one is a conventional PID controller and another is an on-line fuzzy inference mechanism. In the fuzzy inference mechanism, three adjustable factors x p, x i, and x d are introduced, their function is to optimize the results of the fuzzy inference. The optimal PID controller has been used to control a D.C. motor of the intelligent artificial leg and very good control performance has been obtained.
出处
《计算机仿真》
CSCD
2003年第4期32-35,共4页
Computer Simulation
关键词
模糊PID控制器
优化
模糊推理
PID控制
仿真
Optimal fuzzy PID controller
adjustable factors
flexible polyhedron search algorithm
intelligent artificial leg
