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http://dx.doi.org/10.6113/JPE.2017.17.6.1577

A Fuzzy Self-Tuning PID Controller with a Derivative Filter for Power Control in Induction Heating Systems  

Chakrabarti, Arijit (Department of Electrical Engineering, Indian Institute of Technology (ISM))
Chakraborty, Avijit (Department of Electrical Engineering, Indian Institute of Technology (ISM))
Sadhu, Pradip Kumar (Department of Electrical Engineering, Indian Institute of Technology (ISM))
Publication Information
Journal of Power Electronics / v.17, no.6, 2017 , pp. 1577-1586 More about this Journal
Abstract
The Proportional-Integral-Derivative (PID) controller is still the most widespread control strategy in the industry. PID controllers have gained popularity due to their simplicity, better control performance and excellent robustness to uncertainties. This paper presents the optimal tuning of a PID controller for domestic induction heating systems with a series resonant inverter for controlling the induction heating power. The objective is to design a stable and superior control system by tuning the PID controller with a derivative filter (PIDF) through Fuzzy logic. The paper also compares the performance of the Fuzzy PIDF controller with that of a Ziegler-Nichols PID controller and a fine-tuned PID controller with a derivative filter. The system modeling and controllers are simulated in MATLAB/SIMULINK. The results obtained show the effectiveness and superiority of the proposed Fuzzy PID controller with a derivative filter.
Keywords
Induction heating; Inverter; Self-tuning; Simulation;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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