A modified self-tuning fuzzy logic temperature controller for metal induction heating

Chia Jung Chang, Tung Hua Chiang, Cheng Chi Tai

研究成果: Article

摘要

This paper presents a method to build a dynamic target curve producer corresponding to the rising time setting and the ultimate target temperature as a reference for a fuzzy logic controller that is used in the metal heating process application. To achieve this goal, there are some quantization factors in a fuzzy controller that must be set according to the system situation, as well as the experience of experts that will cause the controller to have a lack of adaptivity. To solve this problem, in this paper, all the quantization factors are analyzed thoroughly, and a self-tuning module is designed to make it possible for the controller to perform real-time adjustments based on the system situation and, eventually, make it more adaptive. During the design process, a simulation comparing the control capabilities of the conventional fuzzy logic controller and the self-tuning fuzzy logic controller (STFLC) is made using a finite element analysis. Finally, experiments are carried out on the induction heating system to verify the effect of the proposed STFLC. The results show that, with the proposed self-tuning module, the control capability and adaptivity of the controller were drastically improved.

原文English
文章編號064905
期刊Review of Scientific Instruments
91
發行號6
DOIs
出版狀態Published - 2020 六月 1

All Science Journal Classification (ASJC) codes

  • Instrumentation

指紋 深入研究「A modified self-tuning fuzzy logic temperature controller for metal induction heating」主題。共同形成了獨特的指紋。

  • 引用此