Multi objective barnacle mating optimization for control design of a pendulum system

Abd Razak, Ahmad Azwan and Nasir, Ahmad Nor Kasruddin and Abd Ghani, N. M. and Mhd Rizal, Nurul Amira and Mat Jusof, Mohd Falfazli and Muhamad, Ikhwan Hafiz (2020) Multi objective barnacle mating optimization for control design of a pendulum system. In: 2020 International Conference on Emerging Technology in Computing, Communication and Electronics, ETCCE 2020 , 21 - 22 December 2020 , Virtual, Dhaka. pp. 1-5. (9350881). ISBN 978-166541962-8

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Abstract

This paper presents a MultiObjective Barnacle Mating Optimization (MOBMO) and its application to optimize controller parameters for an inverted pendulum system. The algorithm is an extended version of a single-objective Barnacle Mating Optimization (BMO). In terms of solving a complex problem that has two conflicting objectives, a multiobjective type BMO is needed. Therefore, in the proposed MOBMO, nondominated sorting and crowding distance approaches are incorporated into BMO as a technique to formulate the multiobjective algorithm. The proposed algorithm is tested on various multiobjective benchmark functions. Its performance in terms of accuracy and diversity attainment to find a theoretical pareto front solution is analyzed. Moreover the proposed MOBMO is applied to optimize control parameters for PD controls of a pendulum system. The performance of the proposed MOBMO is compared with Multiobjective Water Cycle Algorithm (MOWCA). Result of the benchmark functions test shows that the proposed algorithm has attained a higher accuracy and a competitive diversity in locating the theoretical front solution. For its application to optimize PD control parameters, both MOWCA and MOBMO have successfully attained a good pareto front solution and controlled the pendulum sufficiently good. Overall performance, the proposed MOBMO has outperformed MOWCA for accuracy attainment and achieved the same level of diversity performance.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Barnacle mating optimization; MOBMO; Multiobjective optimization; PD control; Pendulum
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mrs Norsaini Abdul Samat
Date Deposited:	27 Sep 2022 02:45
Last Modified:	27 Sep 2022 02:45
URI:	http://umpir.ump.edu.my/id/eprint/35295
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