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Sine based bacterial foraging algorithm for a dynamic modelling of a twin rotor system

Shuhairie, Mohammad and Mohd Falfazli, Mat Jusof and Nurul Amira, Mhd Rizal and Ahmad Azwan, Abdul Razak and Ahmad Nor Kasruddin, Nasir and Raja Mohd Taufika, Raja Ismail and Mohd Ashraf, Ahmad (2019) Sine based bacterial foraging algorithm for a dynamic modelling of a twin rotor system. In: 19th International Conference on Control, Automation and Systems (ICCAS 2019)), 15-19 October 2019 , Jeju, Korea (South). pp. 1-6.. ISBN 978-89-93215-17-5

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Abstract

This paper introduces a sine-based position update strategy into Bacterial Foraging Algorithm (BFA). In solving many optimization problems, BFA produces an acceptable accurate solution but it presents a slow convergence speed towards the global solution. On the other hand, a sine-based position update strategy from the Sine Cosine Algorithm (SCA) utilizes an elitism in its position update equation. The elitism strategy contains a promising solution that guiding search agents toward global optima with relatively a faster speed. In this proposed technique, the sine-based position update strategy is incorporated prior to the reproduction phase of the BFA. With the consideration of the advantages of the elitism, it helps the BFA to converge faster and hence acquires better accuracy of the final solution. The proposed algorithm is tested on several CEC2014 benchmark functions that have various fitness landscapes and features. For solving a real world problem, it is applied to optimize a dynamic model of a Twin Rotor System. Result of the test shows that the proposed algorithm significantly outperforms the original BFA for both convergence speed and accuracy performances. On the other hand, result of the modelling shows that the proposed algorithm acquires the dynamic model for the Twin Rotor System with a significant smaller error.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Foraging Algorithm; Sine Cosine Algorithm; Twin Rotor System; Dynamic Modelling; System Identification.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Institute of Postgraduate Studies
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 25 Mar 2020 03:33
Last Modified: 25 Mar 2020 03:33
URI: http://umpir.ump.edu.my/id/eprint/27127
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