Dynamic modeling and energy demand analysis of chain heavy load transfer system on marine mobile platform

ABSTRACT

The demand for transferring the heavy load on marine mobile platform is steadily increasing, surpassing the capabilities of the current system. This paper introduces a chain heavy load transfer system and develops its dynamic model. This paper studies the sensitivity laws of the system’s energy demand to unknown parameters and proposes an adaptive mutation particle swarm optimization (AMPSO), whose identification accuracy is verified through comparative analysis. Experimental verification confirms the reliability of the system model while studying the influence of environmental loads on the system’s energy demand. The results demonstrate that the chain transfer system meets the requirements of marine mobile platforms, and the system model incorporates the primary influencing factors. Unknown parameters significantly influence the system’s energy demand, and the displacement error after parameter identification using AMPSO is 0.00056 rad, substantially enhancing the accuracy of model calculations. The model calculations of the system closely align with experimental measurements, with a maximum displacement error not exceeding 0.004 rad. Sway exerts a greater influence on the system’s energy demand compared to tilt. When tilt and sway are superimposed, the friction torque between the load and the track results in increased input torque and power for the vertical arrangement of the system, with a maximum torque of 328.6kN·m and maximum power of 400 kW.

KEYWORDS:

• Transfer system
• dynamic model
• energy demand
• environmental loads
• tilt and sway

Acknowledgments

We special thanks go to those researchers who have made great contributions to the project.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [Grant No. 51977218].

Notes on contributors

Chaochao Ma

Chaochao Ma doctor, studting on naval university of engineering in electrical engineering. At present, he is mainly engaged in the research of energy storage and conversion.

Jin Xu

Jin Xu professor, graduated from naval university of engineering with a doctorate degree in electrical engineering. At present, he is mainly engaged in the research of energy storage and conversion.

Wanzhi Rui

Wanzhi Rui associate professor, graduated from naval university of engineering with a doctorate degree in electrical engineering. At present, he is mainly engaged in the research of energy storage and conversion.

Zhengrong Jia

Zhengrong Jia assistant professor, graduated from naval university of engineering with a doctorate degree in electrical engineering. At present, he is mainly engaged in the research of energy storage and conversion.

Xiang Li

Xiang Li associate professor, graduated from naval university of engineering with a doctorate degree in electrical engineering. At present, he is mainly engaged in the research of energy storage and conversion

Yi Han

Yi Han assistant professor, graduated from naval university of engineering with a doctorate degree in electrical engineering. At present, he is mainly engaged in the research of energy storage and conversion.