摘要
通过分析PID和模糊控制各自的优劣,针对具有时变和非线性特征的被控系统设计了一种基于解析描述模糊控制规则的分段连续FUZZY-PID智能控制算法。结合了模糊控制、PID控制和智能权函数方法各自的优势,无需确定模糊变量的隶属函数和控制规则表,其运算量相当于常规的PID算法,但性能优于积分分离PID及带智能权函数的常规模糊控制系统,为非线性系统的控制提供了一种新的途径,具有较强的工程实用性。
Through analyzing the advantages and disadvantages of PID and Fuzzy control algorithm,we designed one piecewise continuous Fuzzy-PID intelligence control algorithm based on analytical control rules for the nonlinear and time variable system. This algorithm combined the advantages of Fuzzy control ,laiD control, and intelligent weight Function. It needed not to confirm the membership function of fuzzy variable and the table of control rules. The calculation time was as much as the PID algorithm. But the capability obviously overmatched the integral separating PID and general Fuzzy control with intelligent weight function. This method provided a new way for nonlinear system,with the great practicality in the field of engineering.
出处
《电机技术》
2007年第1期25-29,共5页
Electrical Machinery Technology
关键词
控制
调速
函数
BLDCM
Fuzzy control Intelligent weight Function Fuzzy-PID BLDCM
