A NOVEL TECHNIQUE FOR CONTROLLER TUNING
A NOVEL TECHNIQUE FOR CONTROLLER
TUNING
Mohammad Amin Rashidifar1
and Abdolah abertavi2
1Department of Mechanical Engineering, Islamic Azad University, SHADEGAN Branch,
Iran
2
Department of Electrical Engineering, Islamic Azad University, SHADEGAN Branch,
Iran
Abstract
Neural networks and genetic algorithms have been in the past successfully applied, separately, to
controller tuning problems. In this paper we purpose to combine its joint use, by exploiting the nonlinear
mapping capabilities of neural networks to model objective functions, and use them to supply their values
to a genetic algorithm which performs on-line minimization. Simulation results show that this is a valid
approach, offering desired properties for on-line use such as a dramatic reduction in computation time and
avoiding the need of perturbing the closed-loop operation.
Keywords
Neural Networks, Genetic Algorithms, PID Autotuning
Original Source URL : http://airccse.com/ijaceee/papers/2214ijaceee01.pdf
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