Innovative Control Framework for Nonlinear Vibrations of a Balancer System Through Hybrid FPID Controller

Purpose This paper introduces a modified iteration of the Teaching–Learning-Based Optimization (TLBO) algorithm, tailored to fine-tune the constraint parameters of a hybrid Fuzzy Proportional Integral Derivative (F-PID) controller. Methodology This controller is pivotal for the precise balancing and...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of Vibration Engineering & Technologies Jg. 13; H. 1; S. 115
1. Verfasser: Chaudhary, Abhishek
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Singapore Springer Nature Singapore 01.01.2025
Springer Nature B.V
Schlagworte:
Acoustics
Control
Dynamical Systems
Engineering
Engineering Acoustics
Original Paper
Vibration
Optimization and control
Nonlinear vibrations
Modified TLBO
2 step hybrid FPID controller
Balancing and positioning of vibratory system
ISSN:2523-3920, 2523-3939
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Purpose This paper introduces a modified iteration of the Teaching–Learning-Based Optimization (TLBO) algorithm, tailored to fine-tune the constraint parameters of a hybrid Fuzzy Proportional Integral Derivative (F-PID) controller. Methodology This controller is pivotal for the precise balancing and positioning of vibratory rectangular plate in a two-degree-of-freedom ball balancer system (2DOFBB), renowned for its vibratory surface, multivariable complexity and inherent nonlinearity, particularly when subject to unknown disturbances/vibrations. To address this intricate scenario, a meticulously crafted control strategy is deployed to manage the servo angle vibrations of this balancer system. By employing the F-PID controller, the dynamic behavior of the 2DOFBB system is regulated, with its parameters optimized through a modified Teaching–Learning-Based Optimization (MTLBO) algorithm. This improves the self—balancing & positioning of system which further minimizes the servo angle vibrations and eliminates the fluctuations from this nonlinear system. The tuned parameters of F-PID controller are given as control input signal to the vibratory balancer system and improved real time operation of ball balancer system is achieved. Results The mathematical modelling of ball balancer system and mathematics involved in proposed methodology is explained in detail. Comparative analyses demonstrate the superiority of the proposed approach over existing methodologies documented in the literature. The entire process is simulated using the MATLAB/Simulink platform, with integral time absolute error (ITAE) and time response analyses conducted to validate the efficacy of the proposed methodology.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2523-3920
2523-3939
DOI:10.1007/s42417-024-01700-w