Design of A Self-Tuning Fuzzy Logic Controller with the Combination of Dynamic Target Temperature Curve for Induction Metal Heating Process

Abstract

In the application of metal induction heating the temperature control of the metal pieces will tremendously affect their ultimate features Thus a stable and precise temperature controller is necessary for this kind of systems Among plenty of control theories because of the non-linear and time-varying features of induction heating system the fuzzy logic controller is the one most suitable to it On the purpose of precisely controlling the rising time of temperature this research presents a method to build a dynamic target curve producer which can produce a curve corresponding to the setting of rising time and ultimate target temperature as a reference of a fuzzy logic controller (FLC) However there are some quantization factors in a fuzzy controller needing to be set according to the system situation and experts’ experience which will cause the controller’s shortage of adaptive range To solve this problem this research analyzes all the factors and proposes a self-tuning scheme to make the controller able to do the real time adjusting based on the system situation and eventually more adaptive In the design process a numerical simulation of control capability comparison between the typical FLC and the new one is made The results show that with the proposed self-tuning scheme the control capability and adaptive range of the controller have been drastically improved Finally the experiments are carried out on our induction heating system to verify the effect of the proposed self-tuning scheme

Date of Award	2019
Original language	English
Supervisor	Cheng-Chi Tai (Supervisor)