The Proportional-Integral-Derivative (PID) controller is the most popular control strategy in the process industry. The popularity can be attributed to its simplicity, better control performance and excellent robustness to uncertainties that is found through the research work on such controllers so far. This paper presents the design and tuning of a PID controller using Fuzzy logic for industrial induction heating systems with LLC voltage source inverter for controlling the induction heating power. The paper also compares the performance of the Fuzzy PID controller with that of a conventional PID controller for the same system. The system and the controllers are simulated in MATLAB/SIMULINK. The results show the effectiveness and superiority of the proposed Fuzzy PID controller.
Keyword:Fuzzification Fuzzy PID controller Induction heating LLC Voltage source inverter
Copyright © 2017 Institute of Advanced Engineering and Science.All rights reserved.
Corresponding Author:Arijit Chakrabarti, Department of Electrical Engineering, Indian Institute of Technology (ISM), Dhanbad -826004, Jharkhand, India. Email: a.chakra2010@gmail.com
INTRODUCTIONInduction heating is one of the precise and fastest heating methods in domestic, medical and industrial applications [1]. A high frequency electrical power source and a work coil (inductor) that generates the alternating magnetic field are required to implement an induction heating system. The coil is included in series or parallel resonant tank circuits to minimize the loss in the supply resonant inverter. These days, the focus is on development of control strategies for controlling the output power of the induction heating systems by leveraging high switching frequencies with series resonant inverters, parallel quasi resonant inverters [2]-[3], while eliminating the switching loss of semiconductor devices through soft switching.The Proportional-Integral-Derivative (PID) controllers are widely used in induction heating systems [4]- [5]. With such conventional PID controllers, it is difficult to achieve the desired control results. So, in this paper, fuzzy logic has been used to set the control parameters of a PID controller to achieve a self-tuned Fuzzy PID power controller for the induction heating system. The performances of conventional PID controller and Fuzzy PID controller have been studied in this paper. The Fuzzy PID controller appears to be a better controller for the induction heating system. This paper is organized into following sections: Section 2 describes the system configuration for the induction heating system. Section 3 discusses about the controllers. Section 4 outlines the simulation and results. This paper is concluded in Section 5.