SELF-TUNING OF AN INTERVAL TYPE-2 FUZZY PID CONTROLLER FOR A HEAT EXCHANGER SYSTEM

Abstract

A novel technique is investigated for PID controller adaptation in order to control thetemperature of a liquid-phase reactor tank by using a heat exchanger system. As for nonlinearity,time delay problems and model uncertainties introduced by the heat exchanger, an interval type-2fuzzy system (IT2FS) is implemented to enhance and improve the total control performance.Moreover, the fuzzy inference rules which enable the adaptive adjustment of PID parameters areestablished based on error and error variations. Target tracking, oscillation control and errorevaluation for the proposed controller are compared with previously performed control strategieson the mentioned heat exchanger system. The results show that the adaptive technique for PIDgain based on IT2FS has lower error and strengthened capacity for external oscillation control andalso an acceptable tracking capability.