Title :
Neuro-genetic nonlinear controller for a micro-resonator
Author :
Ibrahim, H.E. ; Zohdy, M.A.
Author_Institution :
Dept. of Electr. & Syst. Eng., Oakland Univ., Rochester, MI, USA
Abstract :
The nonlinear coupling stiffness for a two degree of freedom micro-resonator is shown to have a strong effect on the micro-resonator output frequency and performance. By controlling the stiffness parameters. A smart controller design is proposed, based on artificial neural network and genetic techniques. A good performance is obtained. The genetic algorithm functions to optimize the magnitudes and sign of the neural network weights.
Keywords :
control system synthesis; feedforward neural nets; genetic algorithms; intelligent control; microactuators; micromechanical resonators; neurocontrollers; nonlinear control systems; comb-drives; neuro-genetic nonlinear controller; nonlinear coupling stiffness; smart controller design; two degree of freedom micro-resonator; Artificial neural networks; Control systems; Couplings; Frequency; Genetic algorithms; Mathematical model; Neurons; Optical resonators; Systems engineering and theory; Transceivers;
Conference_Titel :
American Control Conference, 2002. Proceedings of the 2002
Print_ISBN :
0-7803-7298-0
DOI :
10.1109/ACC.2002.1024526
