基于增量式专家与模糊自适应控制参数在线整定方法的控制系统研究

Control Parameters Online Tuning Method and Control System Based on the Incremental Expert Fuzzy Adaptive Control Method

针对基于推理系统的控制参数在线整定方法性能提升问题,提出了一种基于专家规则表推理增量的控制参数在线整定方法(Expert Adjust PID,EA-PID)和一种基于模糊推理增量的控制参数在线整定方法 (Fuzzy Adjust PID,FA-PID);研究通过将专家规则表和模糊推理机直接推理控制参数的方法改为推理修正量的方法,并采用计算机仿真的手段对EA-PID、FA-PID以及现有的专家规则表直接推理控制参数方法 (Expert PID,E-PID)、模糊推理机直接推理控制参数方法 (Fuzzy PID,F-PID)进行对比分析,通过调整专家规则表量值和模糊隶属度函数参数,验证了新方法的可行性、可靠性和新方法在动态性能、稳态性能、抗扰性能及平稳性方面的提升。

In order to improvethe performance problems especially in engineering practice, control parameters online-- tuning method based on the incremental expertand incrementalfuzzy adaptive PID control method is described in this paper. E--PID, F--PID, EA--PID, FA-- PID control systems are modeled and compared by computer simulation experiments. The feature of EA-- PID and FA-- PID is the change proportions of control parameters are calculated firstly according to the current system output, and then the new control parameters are calculated according to the above change proportions. By adjusting the magnitude of expert rule table and parameters of fuzzy member- ship ofthe comparative experiments, better feasibility and reliability, faster speed, lower steady--state error featuresof proposed methods are verified.