PID Controller Tuning using ACO Algorithm for AVR Systems
Harsha S Anantwar1, Anirudh Suresh Ramachandran2
1Harsha S Anantwar*, Electrical and Electrical Engineering department, Dayananda Sagar College of Engineering , Bangalore.
2Anirudh Suresh Ramachandran, Electrical and Electrical Engineering department, Dayananda Sagar College of Engineering , Bangalore.
Manuscript received on February 01, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 560-563 | Volume-9 Issue-3, February, 2020. | Retrieval Number: F8747088619/2020©BEIESP | DOI: 10.35940/ijeat.F8747.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper features an effective technique to device the parameters of PID controllers for utilization together with an Automatic Voltage Regulator System (AVR). The quintessential goal is to acquire a good load disturbance response by minimizing the performance index/(Integral time square error). Simultaneously, the transient response is assured by limiting maximum overshoot, settling time and rise time of the step response to minimal values. For achieving these goals, optimum and quick tuning of the parameters (Kp, Ki, and Kd) is essential. In an effort to accomplish the aforementioned, the paper put forth an algorithm developed based on the Ant Colony Optimization technique (ACO) to decide optimal gains of PID controller and for getting optimal performance within an AVR system. Simulation results establish superior control response may be accomplished in comparison with methods like conventional tuning method (trial and error) and built-in genetic algorithm (GA) took-kit.e.
Keywords: ACO, AVR and PID.