Research On Active Vibration Control Of A Solar Plate Based On SOGFCMAC Fuzzy Neural Network

Piezoelectric smart material is used to suppress the vibration of a flexible cantilevered epoxy plate which is used to simulate a satellite's solar plate. The least number of the actuators is determined employing energy dissipation rule. Taking the size of the piezoelectric patches and the dimension of the plate into consideration, the number of the actuators is derived. By analyzing the vibration mode shape and strains of the first several modals with Nastran, the strain distribution maps are acquired. Then, by minimizing the energy function of vibration and control which is used as the evaluation function, the optimum location is deduced by the Particle Swarm Optimization (PSO) method. The results of the two methods are basically in accordance. Consequently, two independent control channels for the vibration control of the two-dimension flexible plate are realized through proper arrangement of the piezoelectric elements. Based on the SOGFCMAC fuzzy neural network algorithm, a controller is designed. Then, active vibration control system for the flexible plate based on SOGFCMAC is established. Experiments of vibration control are carried out, the results show that the designed system can control well the vibration of the bending and torsion mode of the cantilever plate, and that the arrangement of piezoelectric sensors and actuators is reasonable and the control methods are effective.