Design of ANFIS Control System Using Memetic Method to Vibration control on a Beam with piezoelectric materials

One of the most important considerations in structures design are analysis and control of structure vibrations. Hence how to control and suppress vibrations is one of the important issue in the design of structures. Also, The dependence between mechanical and electrical properties of piezoelectric materials has led to the use of these materials as sensors and actuator to control the structural response is very good. In this paper, we use neural-fuzzy inference system with memetic algorithm to dampen the vibrations. Memetic algorithm is a evolutionary algorithm and leads to better responses in an optimization problem. In this study, with respect to the evolution of behavior in an optimization problem, an adaptive strategy is proposed for the memetic algorithm. By defining an adaptive parameter for the algorithm in each iteration, number of population, mutation probability and entry conditions to local search algorithm can be detemined adaptively. The adaptive algorithm used to vibration control of beam with an ANFIS controller. The variable parameters to control network has been trained by memetic and genetic algorithms. Comparison of results shows that reduces the settling time and Maximum overshoot.