Abstract
Ship course control is designed by means of ship response mathematical model, servo system of steering engine, wave interference model, and PID controller, and particle swarm optimization algorithm (PSO) is added to the course control to obtain the optimal PID parameter value. Considering that the number of PSO iterations and the objective function in the search process have a certain influence on the PID parameter value, this paper mainly studies changing the iteration number and objective function to compare the corresponding PID parameters and then obtains the optimal control effect according to different PID parameters corresponding to different control effects.
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Acknowledgements
This work was financially supported by the National Natural Science Foundation of China (No. 51809236).
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Liang, H., Wang, H., Fan, L., Wang, X., Chen, X. (2023). Ship Heading Control Based on Improved Particle Swarm Optimization Algorithm. In: Kountchev, R., Nakamatsu, K., Wang, W., Kountcheva, R. (eds) Proceedings of the World Conference on Intelligent and 3-D Technologies (WCI3DT 2022). Smart Innovation, Systems and Technologies, vol 323. Springer, Singapore. https://doi.org/10.1007/978-981-19-7184-6_20
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DOI: https://doi.org/10.1007/978-981-19-7184-6_20
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