Tuning of PID Controller for Speed Control of DC Motor Using PSO - Mamodiya, Udit
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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.…mehr

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Produktbeschreibung
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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Autorenporträt
Udit Mamodiya having more than 8 years teaching, Industry & research experience. He is Senior Faculty of Electrical Engineering Departmant in Poornima Foundation, Jaipur (India). He is Gold Medalist in B. Tech. & M. Tech. He has published several research papers & reviewers of international journals. He has own YouTube channel.