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Active Noise Control Design With Simple Genetic Algorithm

This paper presents an investigation into the development of a fixed controller for noise cancellation using a simple genetic algorithm (GA). A single-input single-output (SISO) configuration of the control algorithm is developed on the basis of optimum cancellation of noise at an observation point. The algorithm is implemented on a GA and its performance assessed in the cancellation of noise in a free-field medium. The global search technique of GA is used to develop an active noise control (ANC) system and evaluate its performance. In this investigation, randomly selected parameters are optimised for different, arbitrarily chosen coordinates to fit the system by applying the working mechanism of GA. The percentage of reinforcement that occurs in the medium is adopted as the objective function value. GA is utilised to obtain the best controller parameters among all the attempted orders and configurations. The GA-ANC algorithm is implemented and simulation results are presented to asses the performance of the system, with singlefrequency noise.