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Application of Subtraction Average-Based Optimizer to Selected Electrical and Mechanical Engineering Problems

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DOI: 10.23977/jeeem.2024.070212 | Downloads: 0 | Views: 48

Author(s)

Jihan Wang 1

Affiliation(s)

1 School of Foreign Languages, Donghua University, Shanghai, 201620, China

Corresponding Author

Jihan Wang

ABSTRACT

Summary Mechatronics engineering typically involves dealing with challenges related to designing and upkeeping mechanical and electrical systems. The subtractive averaging-based optimization algorithm is a commonly used method for minimizing system errors by iteratively adjusting parameters to enhance system performance and stability. In this thesis, the advantages and disadvantages of this optimization algorithm in solving the corresponding problems are investigated by applying the subtractive averaging optimizer to some electromechanical engineering problems. The final optimization results in solving Gas Transmission Compressor Design and Planetary Gear Train Design Optimization are very similar to the theoretical values, but for Optimal Setting of Droop Controller for Minimization of Reactive Power Loss in Islanded Microgrids problem the optimization values are more different from the theoretical values. It was found that the subtractive averaging optimizer is beneficial for solving electromechanical engineering problems in some specific problems.

KEYWORDS

Optimization, Metaheuristic, Subtraction Average-based Optimizer, Mechatronic Engineering

CITE THIS PAPER

Jihan Wang, Application of Subtraction Average-Based Optimizer to Selected Electrical and Mechanical Engineering Problems. Journal of Electrotechnology, Electrical Engineering and Management (2024) Vol. 7: 89-95. DOI: http://dx.doi.org/10.23977/jeeem.2024.070212.

REFERENCES

[1] Nowopolski K, Wicher B, Zawirski K, et al. Control of electromechanical object with backlash and elasticity within interconnection between motor and load[C]//Selected Problems of Electrical Engineering & Electronics.IEEE, 2016. DOI:10.1109/WZEE.2015.7394013.
[2] Wang D, Tan D, Liu L. Particle swarm optimization algorithm: an overview [J]. Soft computing, 2018, 22: 387-408.
[3] BLAND A J .Optimal Structural Design by Ant Colony Optimization [J].Engineering Optimization, 2001, 33(4):425-443.
[4] Tarakanov A, Dasgupta D .A formal model of an artificial immune system[J]. BioSystems, 2000, 55(1):151-158.
[5] Che Ku Eddy Nizwan Che Ku Husin, Ghazali M F, Yusoff A. Spectral subtraction-based filter for experimental modal analysis under harmonics excitation force[J]. Journal of Mechanical Engineering and Sciences, 2021.DOI:10. 15282/jmes. 15.4.2021.02.0668.
[6] Khan M M , Akram M J , Paternostro M ,et al.Engineering single-phonon number states of a mechanical oscillator via photon subtraction[J].arXiv e-prints, 2016(6).DOI:10.1103/PHYSREVA.94.063830.
[7] El-Shiekh M T .The Optimal Design of Natural Gas Transmission Pipelines [J].Energy Sources, Part B: Economics, Planning, and Policy, 2013, 8(1):7-13.
[8] Kumar A, Wu G, Ali M Z, et al. A test-suite of non-convex constrained optimization problems from the real-world and some baseline results [J]. Swarm and Evolutionary Computation, 2020, 56: 100693.
[9] Trojovský P, Dehghani M. Subtraction-average-based optimizer: a new swarm-inspired metaheuristic algorithm for solving optimization problems [J]. Biomimetics, 2023, 8(2): 149. 

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