Design and performance comparison of variable parameter nonlinear PID controller and genetic algorithm based PID controller

In this study, design and performance comparison of variable parameter nonlinear PID (NL-PID) and Genetic Algorithm (GA) based PID controller are achieved. To begin with the proposed method, an error function depending on the system input and output are defined to determine variable coefficients of the nonlinear PID controller. A new type non linear PID controller is designed by using defined error function. By this way, the nonlinear PID controller changes its own parameters over time according to the output response. Secondly, genetic algorithm based PID controller are defined to performance comparison of the proposed NL-PID controller and Ziegler-Nichols PID controller. Simulation results show that the effects of the PID controllers; nonlinear, GA based and Ziegler-Nichols.

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