Genetic Algorithm-Based Adaptive PID Controller
Conventional PID controllers (CPID) usually fail to provide satisfactory performance for integrating and nonlinear systems due to large overshoots and oscillation. Nonlinear and adaptive PID controllers (APID) are being developed toward achieving the desired control performance for such systems. In this study, we make an attempt to develop a genetic algorithm-based adaptive PID controller (GA-APID) in order to attain adequate servo as well as regulatory performance. While designing our GA-APID, first we formulate the structure of the APID controller followed by its optimal parameter estimation for a given system using genetic algorithm. Performances of GA-APID for nonlinear and integrating systems are compared with those of CPID and APID reported in the leading literature. From detailed performance analysis, GA-APID is found to provide significantly improved performance over others.
KeywordsGenetic algorithm PID controller Adaptive control
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