Open Access

ARTICLE

Synthesis Optimization of Piezo Driven Four Bar Mechanism Using Genetic Algorithm

Laith Sawaqed¹, Khaled S. Hatamleh^1,2, Mohammad A. Jaradat^1,2, Qais Khasawneh^1,3

1 Mechanical Engineering Department, Jordan University of Science & Technology, P.O.Box 3030 Irbid, Jordan
kshh@just.edu.jo, majaradat@just.edu.jo, qakhasawneh@just.edu.jo
2 Mechanical Engineering Department, American University of Sharjah, P.O. Box (2666) Sharjah, UAE
khatamleh@aus.edu, mjaradat@aus.edu
3 Electromechanical Engineering technology department, Institute of Applied Technology, Abu-Dhabi, UAE
Qais.khasawneh@adpoly.ac.ae

* Corresponding Author: Laith Sawaqed,

Intelligent Automation & Soft Computing 2018, 24(3), 507-515. https://doi.org/10.31209/2018.100000039

Abstract

Over the past few years, there has been a growing demand to develop efficient precision mechanisms for fine moving applications. Therefore, several piezoelectric driven mechanisms have been proposed for such applications. In this work an optimal synthesis of a four-bar mechanism with three PEAs is proposed. Two evolutionary multi-objective Genetic Algorithms (GAs) are formulated and applied; A Genetic Algorithm Synthesis method (GAS) is first used to obtain a synthesis solution for the mechanism regardless of power consumption. Then another Genetic Algorithm Minimum Power Synthesis method (GAMPS) is used to obtain the synthesis solution of minimum power consumption. For that purpose, the study performs simulation investigation of the aforementioned algorithms for each point along sinusoidal and kidney shaped paths of motion. Results show capability of both methods in obtaining a synthesis solution. However, GAMPS outperformed GAS in terms of driving power consumption as it is minimized by 99% ratio.

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Keywords

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