Hybrid sine-spiral dynamic algorithm for dynamic modelling of a flexible manipulator

This paper presents a newly developed algorithm formulated based on a synergy between a mathematical sine equation and a spiral equation. The sine formula is taken from Sine-Cosine Algorithm (SCA) while the spiral equation is adopted from Spiral Dynamic Algorithm (SDA). The synergy combines a determ...

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Bibliographic Details
Main Authors: Nurul Amira, Mhd Rizal, Shuhairie, Mohammad, Ahmad Azwan, Abdul Razak, Mohd Falfazli, Mat Jusof, Ahmad Nor Kasruddin, Nasir, Mohd Ashraf, Ahmad, Addie Irawan, Hashim
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/27125/1/17.%20Hybrid%20sine-spiral%20dynamic%20algorithm%20for%20dynamic%20modelling%20of%20a%20flexible%20manipulator.pdf
http://umpir.ump.edu.my/id/eprint/27125/2/17.1%20Hybrid%20sine-spiral%20dynamic%20algorithm%20for%20dynamic%20modelling%20of%20a%20flexible%20manipulator.pdf
http://umpir.ump.edu.my/id/eprint/27125/
https://doi.org/10.23919/ICCAS47443.2019.8971498
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Institution: Universiti Malaysia Pahang
Language: English
English
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Summary:This paper presents a newly developed algorithm formulated based on a synergy between a mathematical sine equation and a spiral equation. The sine formula is taken from Sine-Cosine Algorithm (SCA) while the spiral equation is adopted from Spiral Dynamic Algorithm (SDA). The synergy combines a deterministic approach from SDA and a random approach from SCA. In the hybrid strategy, all agents update their position either via sine based or spiral based position update equation. The proposed hybrid algorithm is tested in comparison to SDA and SCA on various benchmark functions. A convergence plot and accuracy achievement are recorded and compared. In term of a real world application, the algorithm is applied to optimize a parametric model of an end point acceleration of a flexible manipulator robot. Result of the benchmark functions test shows that the proposed algorithm significantly improves the accuracy of both SCA and SDA. Result of the modelling shows that the SCA, SDA and the proposed algorithm have successfully modelled the end point acceleration.