Performance Comparison Of AFC-CA, AFC-GA, AFC-PSO And AFC-NN In Reducing The Vibration Of Suspended Handle Model
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Date
2022-07-24
Authors
Chin, Jiun How
Journal Title
Journal ISSN
Volume Title
Publisher
Universiti Sains Malaysia
Abstract
Vibration can be generated in any mechanical systems. Some of the vibration
produced is beneficial in some processes such as drilling, cutting, and grinding but it will
detrimental to the operator who operate the mechanical power tools. Hand-arm vibration
syndrome (HAVs) is one of the consequences due to prolonged exposure of high level
vibration. The anti-vibration glove is proposed and used in many industries, but it has
limited effective frequency bandwidth and ineffective in handling the dynamics system.
Therefore, Active Vibration Control (AVC) is suggested in vibration attenuation when
operator is handling the power tool. From previous research, AVC with proportional integral-derivative (PID) controller without Active Force Control (AFC) scheme is not
perform very well in vibration attenuation compared to AVC-PID with AFC scheme. In
this study, various intelligent tuning methods are applied such as Crude Approximation
(CA), Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Neural Network
(NN) together with AVC-PID system. The performance of AFC schemes in vibration
attenuation is analyzed and compared under different combination of disturbances. From
the results, AVC-PID with AFC schemes have performed better in reducing the vibration
compared to passive system and AVC with PID controller. Among all the AFC schemes,
AFCNN tuning methods has produced the best performance in reducing vibration even
though under uncertainty disturbances. As a conclusion, AFC with intelligent tuning
methods is an advantageous way for vibration attenuation of suspended handle.