Fuzzy rule-based set point weighting for fuzzy PID controller

SN Applied Sciences

Rajani K. Mudi¹  Pubali Mitra²  Chanchal Dey² 

[1] Jadavpur University;University of Calcutta;

关键词: Fuzzy PID controller;    Set point weighting;    Fuzzy set point weighting;    FPID enhancement;    Linear and nonlinear processes;    Real-time experimentation;   

DOI  :  10.1007/s42452-021-04626-0

来源: DOAJ

【 摘 要 】

Abstract The objective of this work is to design a fuzzy rule-based set point weighting mechanism for fuzzy PID (FPID) controller so that an overall improved closed-loop performance may be achieved for linear as well as nonlinear process models. Till date, tuning criteria for FPID controllers are not well defined. Trial-and-error approach is primarily adopted and it is quite time-consuming and does not always ensure improved overall closed-loop behaviour. Hence, to ascertain satisfactory closed-loop performance with an initially tuned fuzzy controller, a fuzzy rule-based set point weighting mechanism is reported here. The proposed scheme is capable of providing performance enhancement with instantaneous weighting factor calculated online for each instant based on the latest process operating conditions. The proposed methodology is capable of ascertaining acceptable performances during set point tracking as well as load recovery phases. Efficacy of the proposed scheme is verified for linear as well as nonlinear process models through simulation study along with real-time verification on servo position control in comparison with the others’ reported performance augmentation schemes as well as fuzzy sliding mode control.

【 授权许可】

Unknown