Design of an intelligent ANFIS control system for vibration control of a piezoelectric beam using the Ant Lion Optimizer algorithm

Shavalipour, Aghil; Taghipoor, Hossein

doi:10.22034/joae.2026.566008.1311

Design of an intelligent ANFIS control system for vibration control of a piezoelectric beam using the Ant Lion Optimizer algorithm

Articles in Press

Document Type : Original Article

Authors

Aghil Shavalipour ¹

Hossein Taghipoor ²

¹ Mechanical Engineering Department, Engineering Faculty, Velayat University, Iranshahr, Sistan and Baluchestan, Iran

² Assistant Prof., Mechanical Engineering Department, Faculty of Engineering, velayat University, Iranshar, Iran

10.22034/joae.2026.566008.1311

Abstract

Vibration control in smart structures is considered one of the fundamental challenges in the design of mechanical and aerospace systems. The use of piezoelectric materials as sensors and actuators enables the active control of the structure's dynamic response. In this research, an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller is designed to reduce the vibrations of a piezoelectric beam. To optimally tune the controller's parameters, two independent metaheuristic algorithms, the Genetic Algorithm (GA) and the Ant Lion Optimizer (ALO), have been utilized. The Genetic Algorithm, as an evolutionary method based on natural selection, and the Ant Lion Optimizer, as an algorithm inspired by the hunting behavior of the antlion, are both employed with the objective of minimizing the system response's squared error. The beam model is developed based on the Euler-Bernoulli beam theory and utilizes the Finite Element Method (FEM). Simulation results in the MATLAB environment show that both algorithms effectively reduce the amplitude of vibrations, but the Ant Lion Optimizer offers faster convergence and higher accuracy in tuning the ANFIS parameters compared to the Genetic Algorithm. Section.

Keywords

Vibration control

piezoelectric materials

Genetic Algorithm

Ant Lion Optimizer (ALO)

Subjects