Work

An Experimental Study on the Mechatronics Design and Implementation of an Intelligent Active Vibration Control System for a CSLRFM

Year: 2025

Type: article

Abstract: This study enhances Robotics Flexible Manipulator (RFM) performance by developing a dynamic Mechatronics Test Rig System (MTRS) and a controller for a Combined Single-Link Robotics Flexible Manipulator (CSLRFM). RFMs offer benefits such as lighter weight and faster response but present challenges in motion and vibration control under disturbances. To address this, a Modified Differential Evolution Optimization Algorithm (MDEOA) tunes a PID controller to improve vibration suppression. Additionally, a New Gyroscopic Combined Actuator (NGCA) is introduced for Intelligent Active Vibration Control (IAVC). Comparing (AVC-DEO-PID) and (AVC-FL-PID) controllers with traditional PID, Fuzzy, and (Fuzzy-PID) controllers, the results show (AVC-DEO-PID) performs best, achieving up to about 93.471% faster rise and settling times, eliminating maximum overshoot, and reducing steady-state error by about 90-100%. It is 49-78% faster in peak time, with a 92% reduction in settling time, and shows 90-100% consistency across simulations and experiments. The modified algorithm demonstrates its potential in optimizing CSLRFM performance, making it a robust solution for real-time applications.

Source: Journal of Advanced Research in Applied Mechanics

DOI: 10.37934/aram.134.1.6189

Authors: Abbas Moloody, Azizan As’arry, Tang Sai Hong, Raja Kamil, Mohd Zarhamdy Md. Zain, Irfan Bahiuddin

Institutions: Universiti Putra Malaysia, University of Technology Malaysia, Universitas Gadjah Mada

Language: English

Topic: Dynamics and Control of Mechanical Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

Funder: Universiti Putra Malaysia