General type industrial temperature system control based on fuzzy fractional-order PID controller

Abstract A fuzzy fractional-order PID control algorithm for a general type industrial temperature system is proposed in this paper. In order to improve the production quality and controlled model accuracy, elementary used describe process. The gain coefficients of controller updated online based on set rules which are defined by Mittag–Leffler functions follow fat-tailed distributions. Therefore, parameters could be auto-tuned according uncertainties, noise disturbance, random delay, etc. Examples studied systems shown verify effectiveness controller. superiority fractional calculus fully explored presented methodology. profile with realize more satisfactory dynamic performance, better robustness respect environment changes caused internal external disturbance.