Active Vibration Control of a Smart Structure Using Hybrid Neural Network and PID-Fuzzy Logic

Ahmed Abdulrahman Mohammed; Abdul Wahid A. Saif; Fouad Al-Sunni; Sami El Ferik

doi:10.1109/SSD64182.2025.10989847

Active Vibration Control of a Smart Structure Using Hybrid Neural Network and PID-Fuzzy Logic

Ahmed Abdulrahman Mohammed, Abdul Wahid A. Saif^*, Fouad Al-Sunni, Sami El Ferik

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a comprehensive study on active vibration control of a smart cantilever beam using hybrid control strategies. The research integrates PID-Fuzzy Logic and Neural Network-based tuning methodologies to enhance the vibration suppression performance of a smart structure with piezoelectric materials. Initially, neural network was designed to optimize the PID parameters using a dataset generated through evolutionary algorithms. Sequentially, a fuzzy logic controller was employed to adaptively further tune the PID parameters, mitigating random disturbances. The study compares the performance of these approaches, demonstrating their efficacy in improving system stability and vibration reduction. Simulation results confirm the robustness of the proposed methodologies in controlling structural vibrations.

Original language	English
Title of host publication	22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	819-827
Number of pages	9
ISBN (Electronic)	9798331542726
DOIs	https://doi.org/10.1109/SSD64182.2025.10989847
State	Published - 2025
Event	22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025 - Monastir, Tunisia Duration: 17 Feb 2025 → 20 Feb 2025

Publication series

Name	22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025

Conference

Conference	22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025
Country/Territory	Tunisia
City	Monastir
Period	17/02/25 → 20/02/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Keywords

Active vibration
Fuzzy logic Neural Network
PID Control
Piezoelectric Sensors and Actuators
Smart structure

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Information Systems
Signal Processing
Safety, Risk, Reliability and Quality
Control and Optimization
Instrumentation

Access to Document

10.1109/SSD64182.2025.10989847

Cite this

Mohammed, A. A., Saif, A. W. A., Al-Sunni, F., & El Ferik, S. (2025). Active Vibration Control of a Smart Structure Using Hybrid Neural Network and PID-Fuzzy Logic. In 22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025 (pp. 819-827). (22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSD64182.2025.10989847

Mohammed, Ahmed Abdulrahman ; Saif, Abdul Wahid A. ; Al-Sunni, Fouad et al. / Active Vibration Control of a Smart Structure Using Hybrid Neural Network and PID-Fuzzy Logic. 22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025. Institute of Electrical and Electronics Engineers Inc., 2025. pp. 819-827 (22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025).

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title = "Active Vibration Control of a Smart Structure Using Hybrid Neural Network and PID-Fuzzy Logic",

abstract = "This paper presents a comprehensive study on active vibration control of a smart cantilever beam using hybrid control strategies. The research integrates PID-Fuzzy Logic and Neural Network-based tuning methodologies to enhance the vibration suppression performance of a smart structure with piezoelectric materials. Initially, neural network was designed to optimize the PID parameters using a dataset generated through evolutionary algorithms. Sequentially, a fuzzy logic controller was employed to adaptively further tune the PID parameters, mitigating random disturbances. The study compares the performance of these approaches, demonstrating their efficacy in improving system stability and vibration reduction. Simulation results confirm the robustness of the proposed methodologies in controlling structural vibrations.",

keywords = "Active vibration, Fuzzy logic Neural Network, PID Control, Piezoelectric Sensors and Actuators, Smart structure",

author = "Mohammed, \{Ahmed Abdulrahman\} and Saif, \{Abdul Wahid A.\} and Fouad Al-Sunni and \{El Ferik\}, Sami",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025 ; Conference date: 17-02-2025 Through 20-02-2025",

year = "2025",

doi = "10.1109/SSD64182.2025.10989847",

language = "English",

series = "22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Mohammed, AA, Saif, AWA, Al-Sunni, F & El Ferik, S 2025, Active Vibration Control of a Smart Structure Using Hybrid Neural Network and PID-Fuzzy Logic. in 22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025. 22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025, Institute of Electrical and Electronics Engineers Inc., pp. 819-827, 22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025, Monastir, Tunisia, 17/02/25. https://doi.org/10.1109/SSD64182.2025.10989847

Active Vibration Control of a Smart Structure Using Hybrid Neural Network and PID-Fuzzy Logic. / Mohammed, Ahmed Abdulrahman; Saif, Abdul Wahid A.; Al-Sunni, Fouad et al.
22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025. Institute of Electrical and Electronics Engineers Inc., 2025. p. 819-827 (22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - This paper presents a comprehensive study on active vibration control of a smart cantilever beam using hybrid control strategies. The research integrates PID-Fuzzy Logic and Neural Network-based tuning methodologies to enhance the vibration suppression performance of a smart structure with piezoelectric materials. Initially, neural network was designed to optimize the PID parameters using a dataset generated through evolutionary algorithms. Sequentially, a fuzzy logic controller was employed to adaptively further tune the PID parameters, mitigating random disturbances. The study compares the performance of these approaches, demonstrating their efficacy in improving system stability and vibration reduction. Simulation results confirm the robustness of the proposed methodologies in controlling structural vibrations.

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KW - Piezoelectric Sensors and Actuators

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Mohammed AA, Saif AWA, Al-Sunni F, El Ferik S. Active Vibration Control of a Smart Structure Using Hybrid Neural Network and PID-Fuzzy Logic. In 22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025. Institute of Electrical and Electronics Engineers Inc. 2025. p. 819-827. (22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025). doi: 10.1109/SSD64182.2025.10989847

Active Vibration Control of a Smart Structure Using Hybrid Neural Network and PID-Fuzzy Logic

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this