An expert PID controller uses refined ziegler and nichols rules and fuzzy logic ideas
作者:Gerardo Gabriel Acosta, Miguel Angel Mayosky, José Maria Catalfo
摘要
This article proposes a scheme for the on-line adjustment of three mode controller settings based on experimental measurements of closed-loop performance. It uses a recently developed heuristic tuning procedure to identify estimated process parameters. This method may give rise to conflicting estimates. Fuzzy Set theory is applied to manage the situation in terms of a fuzzy conjunction to combine the various estimates. PID control was chosen because of its wide use in the industrial environment due to driving simplicity and robustness. The article shows design, development, and computer simulation aspects.
论文关键词:PID control, fuzzy logic, pattern recognition, expert system
论文评审过程:
论文官网地址:https://doi.org/10.1007/BF00872055