摘要
阀门定位器是一个非线性、时变及未知模型系统,普通PID无法满足应用过程中快速、高精度要求.文中提出将常规PID控制方法和模糊技术相结合的的控制方式.在分析系统满足Ziegler-Nichols条件的基础上,运用其设定方法对PID参数进行了归一化处理,并对处理后的单个参数设计了模糊自适应控制算法.实验证明该控制算法控制效果明显优于普通PID.算法计算量小、调节可靠、自适应性强,能够满足工业应用需要.
The positioner of intelligent valve is a nonlinear, time-varying and unknown model systems, ordinary PID can't meet its fast, high-precision requirements. Based on the analysis to meet conditions of Ziegler-Nichols on the system, PID parameter was dealt with naturalization using Ziegler-Nichols method, and fuzzy adaptive control algorithm was designed. Experiments show that the control algorithm is superior to ordinary PID. This algorithm is small calculation quantity, reliable regulation, strong adaptability to satisfy the needs of industrial applications.
出处
《西安工业大学学报》
CAS
2007年第6期563-566,共4页
Journal of Xi’an Technological University
关键词
智能阀门定位器
参数归一化
模糊
PID自适应控制
positioner of intelligent valve
naturalization of parameters
fuzzy
self-adapting control of PID