Real-coded genetic algorithm and fuzzy logic approach for real-time tuning of proportional–integral–derivative controller in automatic voltage regulator system

• Published in: IET generation, transmission & distribution Vol. 3; no. 7; pp. 641 - 649
• Main Authors: Devaraj, D., Selvabala, B.
• Format: Journal Article
• Language: English
• Published: Stevenage Institution of Engineering and Technology 01.07.2009; The Institution of Engineering & Technology
• Subjects: Applied sciences; Control systems; Electrical engineering. Electrical power engineering; Electrical machines; Exact sciences and technology; Floating point arithmetic; Fuzzy logic; Genetic algorithms; Genetics; Optimization; Proportional integral derivative; Regulation and control; Tuning; Transient response; Fuzzy system; Automatic regulation; Computer simulation; Control system; Expert system; Optimization method; Tuning; Operating conditions; Fuzzy logic; Fuzzy algorithm; Genetic algorithm; Optimal control; Floating point; Differential integral proportional control; Voltage regulators
• ISSN: 1751-8687; 1751-8695
• DOI: 10.1049/iet-gtd.2008.0287

The optimal tuning of proportional-integral-derivative (PID) controller parameters is necessary for the satisfactory operation of automatic voltage regulator (AVR) system. This study presents a combined genetic algorithm and fuzzy logic approach to determine the optimal PID controller parameters in the AVR system. The problem of obtaining the optimal PID controller parameters is formulated as an optimisation problem and a real-coded genetic algorithm (RGA) is applied to solve the optimisation problem. In the proposed RGA, the optimisation variables are represented as floating point numbers in the genetic population. Further, for effective genetic operation, the crossover and mutation operators which can deal directly with the floating point numbers are used. The proposed approach has resulted in PID controller with good transient response. The suitability of the proposed approach for PID controller tuning has been demonstrated through computer simulations in an AVR system.