Open AccessPID Controller Tuning using ACO Algorithm for AVR Systems
Author(s) -
Harsha Anantwar,
A. Ramachandran
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f8747.029320
Subject(s) - overshoot (microwave communication) , pid controller , control theory (sociology) , settling time , step response , transient response , ant colony optimization algorithms , genetic algorithm , transient (computer programming) , computer science , response time , voltage regulator , rise time , controller (irrigation) , voltage , control engineering , engineering , algorithm , control (management) , temperature control , telecommunications , agronomy , computer graphics (images) , electrical engineering , artificial intelligence , machine learning , biology , operating system
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.