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

Arijit Chakrabarti; Avijit Chakraborty; Pradip Kumar Sadhu

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

Arijit Chakrabarti

Avijit Chakraborty

Pradip Kumar Sadhu

Vol. 17, No. 6, pp. 1577-1586, Nov. 2017

10.6113/JPE.2019.17.6.1577

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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.

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Cite this article

[IEEE Style]

A. Chakrabarti, A. Chakraborty, P. K. Sadhu, "A Fuzzy Self-Tuning PID Controller with a Derivative Filter for Power Control in Induction Heating Systems," Journal of Power Electronics, vol. 17, no. 6, pp. 1577-1586, 2017. DOI: 10.6113/JPE.2019.17.6.1577.

[ACM Style]

Arijit Chakrabarti, Avijit Chakraborty, and Pradip Kumar Sadhu. 2017. A Fuzzy Self-Tuning PID Controller with a Derivative Filter for Power Control in Induction Heating Systems. Journal of Power Electronics, 17, 6, (2017), 1577-1586. DOI: 10.6113/JPE.2019.17.6.1577.