In this study, an efficient modified artificial bee colony algorithm is presented to find the optimal location of piezoelectric actuators and sensors for active vibration control of plates. An artificial bee algorithm is a population-based approach utilized to search for the optimal solution using swarm intelligence. There are two searching steps in the proposed algorithm, i.e., the random and the local search. These two search types present the main processes of the algorithm, known as exploration and exploitation. Making a balance between these two processes is important in obtaining the best solution. Therefore, a new technique is proposed herein to keep a balance between exploration and exploitation. In this technique, a fuzzy system is utilized as the parameter tuner in the improved artificial bee colony algorithm for providing the balance between global search and local search. Consequently, the solution of the algorithm approaches the optimal object. The presented algorithm is utilized to determine the optimal placement of piezoelectric sensors and actuators on an isotropic rectangular plate. Ensuring good observability and controllability is considered as the optimization criterion. Also, residual modes are considered to limit the spillover effect. The obtained results indicate the superiority of the proposed approach.
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Karami, M., Vatankhah, R. & Khosravifard, A. A modified fuzzy-tuned artificial bee algorithm to optimal location of piezoelectric actuators and sensors for active vibration control of isotropic rectangular plates. J Braz. Soc. Mech. Sci. Eng. 43, 86 (2021). https://doi.org/10.1007/s40430-020-02769-6
- Modified artificial bee colony
- Fuzzy tuning
- Optimal location