Research on the Application of Stewart Platform for Wave Compensation

Mingxiao Wang; Qiang Ma; Guoqing Sun

doi:10.54691/8mbmdw76

Authors

Mingxiao Wang
Qiang Ma
Guoqing Sun

DOI:

https://doi.org/10.54691/8mbmdw76

Keywords:

Stewart Platform; Neural Network; PID; Wave Compensation.

Abstract

In the field of ocean engineering, the efficiency and safety of ship operation are significantly affected by waves. Faced with the instability and safety risks of ship crane operation under complex sea conditions, a design and research method of efficient wave compensation device based on Stewart platform is proposed in this paper, aiming at developing a compensation system that can respond in real time and effectively counteract the effects of waves, so as to improve the safety and efficiency of offshore operations. Aiming at the limitation of traditional wave compensation technology, this paper adopts the BP neural network PID control algorithm combined with Stewart platform. Utilizing the Stewart platform's six-degree-of-freedom motion capability, fast compensation of wave motion is achieved. On this basis, the BP neural network PID control strategy is introduced to optimize the response speed and compensation accuracy of the system, and realize the efficient and accurate compensation of wave motion under complex sea conditions.

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References

[1] Jun. Zhang:Simulation and experimental research of Marine simulation motion platform based on parallel mechanism [D]. Ocean University of China,2015.

[2] Gang.Wen:Research on Control Algorithm of 6-DOF Parallel Robot [D]. Southwest Jiaotong University, 2017.

[3] Gough V E, Whitehall S G:Universal Tyre test Machine[J]. Proc.fisita Int.tech.cong, 1962.

[4] Stewart D. A Platform with Six Degrees of Freedom[J]. ARCHIVE Proceedings of the Institution of Mechanical Engineers 1847-1982(vols I-196), 1965, 180(1965): 371-386.

[5] Hunt K H: Kinematic Geometry of Mechanisms. Oxford:Clarendon Press, 1978:3-9.

[6] Ismail H, Ishak N, Tajjudin M, et al:Adaptive feedforward zero phase error tracking control with model reference for high precision X-Y table[C]. International Conference on Intelligent and Advanced Systems. IEEE, 2012.

[7] Peng.LI: Controller Design and Application Research of high-frequency motion simulation system [D]. Harbin Institute of Technology,2013.

[8] TENSOR TE6-900 Multi-axis, High Frequency vibration Test System[EB]. 2011.

[9] Jinsong.Wang, Duan Guanghong, Yang Xiangdong; Research Progress of Virtual Axis Machine Tool and Discuss the successful development of VAMTIY prototype in Tsinghua University [J]. Science and Technology Review, 1998(8): 32~34.

[10] Haifeng. Zhu, Wei.Li, Lin.Zhang:PID control based on BP neural network tuning [J]. Journal of Dynamics and Control, 2005, 3(4): 93-96.