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Particle Swarm Optimization (PSO) is emerging as a powerful optimization tool and is recently applied in a few fields. This book presents the application of a new Particle swarm optimization technique for adjusting the gains of a PID speed controller adaptively to give the minimum integral absolute error between the speed demand and the output response, minimum settling time and minimum overshoot for a separately excited motor. Computer simulations and experimental results show that the performance of the optimal PID controller is better than that of the traditional design methods of PID controller.

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Mamodiya, Udit
Er. Udit Mamodiya is an Assistant Professor in the Department of Electrical Engineering, Poornima Institute of Engineering & Technology (India). He has more than seven years of experience in academic & industry. Many of his articles have been published in international journals & conferences. He has Gold Medalist for academic performance.

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