Abstract
This paper presents an improved optimization algorithm namely Sine-based Barnacle Mating Optimization (SbBMO) algorithm. The Barnacle Mating Optimization (BMO) applies a Barnacle mating concept in retaining the survival of their colony in its strategy. A Sine-based position update strategy is applied to all barnacles that are located at a distance away from their parent. This is to guide the barnacles towards the current best barnacle in the colony. It balances the mating strategy considering the dynamic step size of the sine-based strategy. The proposed SbBMO is tested on 10 dimensions of CEC2014 benchmark functions. The proposed algorithm is also applied to optimize Proportional-Derivative (PD) controller for controlling an inverted pendulum system. Result of the benchmark functions shows that the proposed SbBMO achieved a significant improvement on accuracy performance. For the inverted pendulum application, both algorithms have satisfactorily optimized the controller. However, the SbBMO-based PD achieved a more satisfactory control performance as compared to BMO-based PD.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hao MR, Ahmad MA, Ismail RMTR, Nasir ANK (2018) Performance evaluation of random search-based methods on model-free wind farm control. In: Intelligent Manufacturing & Mechatronics. Springer, pp 657–670
Nasir ANK, Tokhi MO, Ghani NMA (2015) Novel adaptive bacterial foraging algorithms for global optimisation with application to modelling of a TRS. Expert Syst Appl 42(3):1513–1530
Jamin NF, Ghani NMA, Ibrahim Z, Nasir ANK, Rashid M, Tokhi MO (2020) Stabilizing control of two-wheeled wheelchair with movable payload using optimized interval type-2 fuzzy logic. J Low Frequency Noise Vibration Active Control 0(0):1–22
Sulaiman MH, Mustaffa Z, Saari MM, Daniyal H (2020) Barnacles mating optimizer: A new bio-inspired algorithm for solving engineering optimization problems. Eng App Artif Intell 87:103330
Li H, Guo H, Yousefi N (2020) A hybrid fuel cell/battery vehicle by considering economy considerations optimized by Converged BMO algorithm. Energy Rep 6:2441–2449
Yang Z, Liu Q, Zhang L, Dai J, Razmjooy N (2020) Model parameter estimation of the PEMFCs using improved Barnacles Mating Optimization algorithm. Energy 212:118738 (2020)
Abd Razak AA, Nasir ANK, Ghani NMA, Mhd Rizal NA, Mat Jusof MF, Muhamad IH (2020) Multi objective barnacle mating optimization for control design of a pendulum system. In: Proceedings of 2020 IEEE emerging technology in computing, communication and electronics (ETCCE), 21–22 December 2020, Bangladesh, pp 1–5
Li H, Zheng G, Sun K, Jiang Z, Li Y, Jia H (2020) A Logistic chaotic barnacle mating optimizer with masi entropy for color image multilevel thresholding segmentation. IEEE Access 8:213130–213153
Mirjalili S (2016) SCA: a sine cosine algorithm for solving optimization problems. Knowledge-Based Syst. 96:120–133
Liang JJ, Qu BY, Suhanthan PN (2014) Problem definitions and evaluation criteria for the CEC 2014. Special Session and Competition on Single Objective Real-Parameter Numerical Optimization. Technical report 201311, pp 1–32
Nasir ANK, Ahmad MA, Rahmat MF (2008) Performance comparison between LQR and PID controllers for an inverted pendulum system. In: AIP conference proceedings, 1052 (1), American Institute of Physics, pp 124–128
Acknowledgements
All the works presented in this paper are few results of a research conducted at the Universiti Malaysia Pahang (UMP). The work has been financially sponsored by the Fundamental Research Grant Scheme FRGS/1/2019/ICT05/UMP/03/1 and awarded by the Ministry of Higher Education Malaysia (MOHE) via Research and Innovation Department, UMP. It has the university reference number RDU1901217.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Roslan, A.A., Nasir, A.N.K., Jusof, M.F.M., Razak, A.A.A., Ahmad, M.A. (2022). Sine-Based Barnacle Mating Optimization for PD Control of an Inverted Pendulum System. In: Md. Zain, Z., Sulaiman, M.H., Mohamed, A.I., Bakar, M.S., Ramli, M.S. (eds) Proceedings of the 6th International Conference on Electrical, Control and Computer Engineering. Lecture Notes in Electrical Engineering, vol 842. Springer, Singapore. https://doi.org/10.1007/978-981-16-8690-0_39
Download citation
DOI: https://doi.org/10.1007/978-981-16-8690-0_39
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-8689-4
Online ISBN: 978-981-16-8690-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)