Mohammad Javad Mahmoodabadi - Department of Mechanical Engineering, Sirjan University of Technology, Sirjan, Iran
Seyed Mehdi Mortazavi Yazdi - Department of Design and Manufacture, Shaid Bahonar Copper Industries Co. (CSP), Kerman, Iran
Abbas Barani - Department of Mechanical Engineering, Takestan branch, Islamic Azad University, Takestan, Iran

In this work, a multi-objective optimization process based on the genetic algorithm is employed to damp the vibrations of a piezo actuating composite beam. A new mathematical model for the control effort is proposed and optimized with two objective functions. Conflicting objectives are considered as the displacement of the beam and the second derivative of the control voltage. The coefficients of the proposed control voltage model are regarded as the design variables for this optimization process. The corresponding Pareto front represents non-dominated optimum solutions with different choices to designers. The time behaviors of displacement, velocity and acceleration as well as the related control effort at the midpoint of the beam for three optimum design points are illustrated. The simulation of the time responses of a selected optimum point exhibits the advantage of the planned optimum strategy with regard to those stated in some research such as the cases used in the maximum principle for the same structure.

Piezo actuator, Beam vibrations, Optimum control effort, Multi-objective optimization, genetic algorithm