Abstract:
Since DC motor plays a significant role in modern industry the aim of This research is to design a speed controller of a DC motor by selection of PID Parameters using Genetic algorithm. This algorithm is an approach to optimization and learning based loosely on principles of biological evolution, these are simple to construct, and its implementation does not require a large amount of storage, making them a sufficient choice for an optimization problems. Here conventional tuning techniques and optimization techniques for PID controller parameters were discussed and used to improve the performance of DC motor control speed because it play significant role in industrial application. Here comparison between different tuning methods was done. The main reason to use optimization algorithm with PID controller is to give an optimum output values for the PID parameters. The PID conventional controller had been applied and results were compared with the auto tuning PID-GA for DC motor speed control using Simulink of MATLAB. Finally Simulation results for the proposed method gave optimum values for PID controller parameters and contribute better transient response compare with the results that we got from conventional methods such as Ziegler-Nichols (ZN) & trial and error.
