摘要
针对磁悬浮系统开环不稳定、强烈非线性等特性,结合PID控制和模糊控制的优点,提出一种改进的模糊自适应PID控制方法(IFPID)。将微分环节从模糊控制器中剥离出来,只对比例和积分参数进行模糊整定。设计时采用非线性模糊化,利用S-函数建立磁悬浮系统的非线性模型并进行仿真。仿真结果表明,IFPID控制系统的抗干扰和适应参数变化的能力都优于常规PID控制,具有较好的动态特性和稳定性。
Combining the advantages of PID controller and fuzzy controller, an improved fuzzy adaptive PID controller (IFPID) was proposed according to the characteristics of maglev system, such as open-loop instability and strong nonlinearity. The algorithm of IFPID controller was analyzed and designed theoretically by nonlinear fuzzy mapping. D controller was separated from PID controller which P and I parameters were adapted by fuzzy controller. And the nonlinearity model of maglev system which was programmed by S-function was simulated. The results shows that the IFPID controller has the advantages of higher anti-interference ability and adaptability to parameters' changing than conventional PID controller, and better dynamic property and stability.
出处
《计算机应用》
CSCD
北大核心
2009年第B06期329-331,334,共4页
journal of Computer Applications
基金
国家863计划项目(2003AA404190)
哈尔滨市培养学科后备带头人基金项目(2005AFXXJ023)
关键词
模糊控制
自适应控制
非线性
磁悬浮
fuzzy control
adaptive control
nonlinearity
magnetic levitation