Research on Engine Speed Control Based on Tuna Swarm Optimization

Guo, Shu-Man and Guo, Jun-Kai and Gao, Yu-Guo and Guo, Peng-Yan and Huang, Fu-Jun a, and Wang, Shi-Chang and Lou, Zhi-Chao and Zhang, Xu (2022) Research on Engine Speed Control Based on Tuna Swarm Optimization. Journal of Engineering Research and Reports, 23 (12). pp. 272-280. ISSN 2582-2926

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Abstract

Accurate control of engine speed can effectively improve fuel economy and comfort. Currently, the commonly used PID parameter setting methods for engine speed control include Ziegler-Nichols method and gradient method, etc. Although they have good performance in parameter setting, they still have shortcomings such as slow response to the control process and long stability time. In this paper, the tuna swarm optimization is used to adjust the PID parameters, and the optimized results are compared with the traditional setting results. The experimental results show that under the same test conditions, the response speed can be reduced by 3.2-6.2s, the maximum overshoot can be reduced by 0.5%-5%, and the maximum steady-state error can be reduced by 0.6%-0.8%.The tuna swarm optimization has an obvious effect in PID parameter optimization of engine speed control, which provides a theoretical basis for the application of other group optimization algorithms in PID parameter optimization of engine speed control.

Item Type: Article
Subjects: Asian STM > Engineering
Depositing User: Managing Editor
Date Deposited: 17 Jan 2023 07:27
Last Modified: 15 Feb 2024 04:16
URI: http://journal.send2sub.com/id/eprint/255

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