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Future Internet 2018, 10(10), 99; https://doi.org/10.3390/fi10100099

The Optimization of Marine Diesel Engine Rotational Speed Control Process by Fuzzy Logic Control Based on Particle Swarm Optimization Algorithm

Faculty of Marine Engineering, Vietnam Maritime University, Haiphong 180000, Vietnam
Received: 3 September 2018 / Revised: 21 September 2018 / Accepted: 28 September 2018 / Published: 4 October 2018
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Abstract

The marine main diesel engine rotational speed automatic control plays a significant role in determining the optimal main diesel engine speed under impacting on navigation environment conditions. In this article, the application of fuzzy logic control theory for main diesel engine speed control has been associated with Particle Swarm Optimization (PSO). Firstly, the controller is designed according to fuzzy logic control theory. Secondly, the fuzzy logic controller will be optimized by Particle Swarm Optimization (PSO) in order to obtain the optimal adjustment of the membership functions only. Finally, the fuzzy logic controller has been completely innovated by Particle Swarm Optimization algorithm. The study results will be represented under digital simulation form, as well as comparison between traditional fuzzy logic controller with fuzzy logic control–particle swarm optimization speed controller being obtained. View Full-Text
Keywords: main diesel engine; fuzzy logic control theory; particle swarm optimization algorithm; optimal engine speed; navigation environment main diesel engine; fuzzy logic control theory; particle swarm optimization algorithm; optimal engine speed; navigation environment
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Tran, T.A. The Optimization of Marine Diesel Engine Rotational Speed Control Process by Fuzzy Logic Control Based on Particle Swarm Optimization Algorithm. Future Internet 2018, 10, 99.

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