Integration of DNA and Real Coded GA for the design of PID-like fuzzy controllers

In this paper, a novel computing methodology called DNA-RGA computing algorithm, which combines the characteristics of DNA and Real Coded Genetic algorithm, is proposed to design fuzzy controller and to improve the performance of systems. In order to explore the major merit of DNA-RGA computing algorithm in the field of control systems, this paper presents a variable PID-like fuzzy controller design based on aforementioned methodology to attain the proper types of controllers, such as P-like, PD-like, PI-like, or PID-like fuzzy controllers, corresponding to different plants. Finally, the simulation results demonstrate the validity and feasibility of the proposed methodology.