Fuzzy Logic, and Pattern Recognition In A Self-tuning Controller
Ann Gabriel, M.M. Angel, Carazo José María · 2005
lnrpreciulori uriscs in many control problems due to lack of confidence on experimental data and model constraintsIt i0 well managed by approximate reasoning techniques using Fuzzy Logic. In this paper we apply these techniques for an Expert PID Controller design. This cont.ro1 is widely spread in the industrial environment because of ita driving simplicity and robustness. Our approach allow us to use well known PID tuning heuristics. The paper shows design, development and campuker simulation aspects