Tuning of PID Controller for Speed Control of DC Motor Using PSO
The performance of the optimal PID controller is better than that of the traditional design methods of PID controller
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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 contr...
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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