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<p>This research investigates the characteristics of active vibration control of composite plates and performance gradient materials (FGM) using intelligent and piezoelectric control systems. The main objective of this study is to develop and evaluate new control methods to reduce free and forced vibrations in these structures. The dynamic model of the plates is obtained using classical theories of solid mechanics and advanced numerical methods, including the finite element method (FEM) and the element-free Galerkin method (EFG). The results show that the use of intelligent controllers, including fuzzy and neural controllers, leads to a reduction in vibration amplitude by up to 40% compared to traditional controllers. Also, optimizing the location of sensors and piezoelectric actuators using the SD-QPSO algorithm has led to improved performance of the control systems and reduced energy consumption by up to 25%. This research demonstrates the high potential of intelligent control systems in improving efficiency and reducing vibrations in composite and FGM structures, and can help develop practical applications in the aerospace, automotive and electronics industries.</p>

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Design of intelligent control systems for damping vibrations of composite sheets using piezoelectricity as a sensor and actuator under various disturbance conditions

  • 期刊论文

  • 发表日期：

    2025年8月2日

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  • Mostafa Jalalnezhad

摘要

This research investigates the characteristics of active vibration control of composite plates and performance gradient materials (FGM) using intelligent and piezoelectric control systems. The main objective of this study is to develop and evaluate new control methods to reduce free and forced vibrations in these structures. The dynamic model of the plates is obtained using classical theories of solid mechanics and advanced numerical methods, including the finite element method (FEM) and the element-free Galerkin method (EFG). The results show that the use of intelligent controllers, including fuzzy and neural controllers, leads to a reduction in vibration amplitude by up to 40% compared to traditional controllers. Also, optimizing the location of sensors and piezoelectric actuators using the SD-QPSO algorithm has led to improved performance of the control systems and reduced energy consumption by up to 25%. This research demonstrates the high potential of intelligent control systems in improving efficiency and reducing vibrations in composite and FGM structures, and can help develop practical applications in the aerospace, automotive and electronics industries.