In this paper the vibration suppression of a flexible structure using fuzzy controller with bonded piezoelements is investigated. A flexible beam with PZT piezoceramics as sensor and actuators is fabricated at the Advanced Dynamic and Control Systems lab (ADCSL). A dynamic model of the smart structure is derived from an experimental system ID. On the other hand using finite element method (FEM), a theoretical model of the structure is obtained which is in good agreement with the experimental model. A fuzzy control system is then designed and implemented for vibration suppression of the smart beam subjected to the impulse excitation and resonance disturbances. Results show the effectiveness of the fuzzy controller and its advantage over conventional controllers.
An experimental setup is designed and fabricated to measure the force induced by voltage in an SMA wire. Using
autoregressive model with exogenous input (ARX) method for system identification of the experimental data, two
appropriate transfer functions of the force in SMA wire versus the applied voltage during each of heating and cooling
processes were derived. Afterwards, a conventional PID controller and a self-tuning fuzzy PID controller were
designed to control the force in SMA wire. The latter control algorithm is used by tuning the parameters of the PID
controller thereby integrating fuzzy inference and producing a fuzzy adaptive PID controller, which is used to
improve the force control performance. The responses of the system with the both designed controllers for different
inputs are simulated and compared to each other. At the end, simulation results show that in force control of the
SMA wire, self-tuning fuzzy PID controllers are more efficient than conventional PID controllers.