Stewart Patform Tchnology Research and Inovation

Authors

  • Mingxiao Wang
  • Qiang Ma
  • Baolong Peng

DOI:

https://doi.org/10.54097/przvt907

Keywords:

Stewart platform, Parallel mechanism, Six degrees of freedom.

Abstract

In the era of rapid technological advancement today, the Stewart platform, as a six-degree-of-freedom parallel robot mechanism, has demonstrated broad application potential and significance across multiple domains. Nevertheless, with the continuous expansion of application fields and the escalating technical requirements, the Stewart platform confronts pivotal challenges in further enhancing its performance, broadening its application scope, and strengthening system stability. Responding to these challenges, this paper adopts a comprehensive research approach, integrating the latest engineering technologies and theoretical analyses, to delve into the technological development trends and future innovation directions of the Stewart platform from three perspectives: structural optimization, innovative control strategies, and advancements in materials science. Firstly, leveraging advanced computational tools and algorithms, the structural design of the Stewart platform is optimized to enhance its load-bearing capacity and motion accuracy while reducing energy consumption. Secondly, artificial intelligence-based control strategies are introduced, utilizing learning algorithms to refine the motion control of the Stewart platform, thereby achieving operations with higher precision and faster response times. Lastly, the application of novel materials such as carbon fiber composites and shape memory alloys is explored to elevate the mechanical properties and adaptability of the Stewart platform. The research focus of this paper lies in driving the performance upgrade and application expansion of the Stewart platform through technological innovations, particularly in scenarios demanding high precision and stability. Through these investigations, the paper underscores the pivotal roles of structural optimization, intelligent control, and materials science in the development of the Stewart platform, offering theoretical foundations and practical guidance for future technological innovations and applications.

Downloads

Download data is not yet available.

References

[1] Xie B, Dai S. A Comparative Study of Extended Kalman Filtering and Unscented Kalman Filtering on Lie Group for Stewart Platform State Estimation[C]. 2021 6th International Conference on Control and Robotics Engineering (ICCRE). IEEE, 2021: 145-150.

[2] Patel V, Krishnan S, Goncalves A, et al. SPRK: A low-cost stewart platform for motionstudy in surgical robotics[C]. 2018 International Symposium on Medical Robotics (ISMR).IEEE, 2018: 1-6.

[3] Wang X, Yue X, Dai H, et al. Vibration suppression for post-capture spacecraft via a novel bio-inspired Stewart isolation system[J]. Acta Astronautica, 2020, 168(6): 1-22.

[4] Keshtkar S, Poznyak A S, Hernandez E, et al. Adaptive sliding-mode controller based on the “Super-Twist” state observer for control of the Stewart platform[J]. Automation and Remote Control, 2017, 78(7): 1218-1233.

[5] Qiao Dongsheng, Sun Yubo, Ma Gang, et al. Motion Feedforward Control of the Actuator for Active Cut-off Test of Deepwater Mooring [J]. Journal of Harbin Engineering University, 2020, 41(02): 199-205.

[6] Duan Xuechao. Research on Analysis, Optimization, and Control of Flexible-Supported Stewart Platform [D]. Xidian University, 2009. DOI: CNKI:CDMD:1.2009.031146.

[7] Yao Jun, Dou Yingyan. Research on Motion Trajectory Control of Stewart Platform Based on Adaptive Sliding Mode Controller [J]. Chinese Journal of Construction Machinery, 2020, 18(5): 6.

[8] Cardona M J J ,Cardona M ,Verdial C I J , et al.Direct and Inverse Kinematics of a 3RRR Symmetric Planar Robot: An Alternative of Active Joints[J].Symmetry,2024,16(5).

Downloads

Published

31-10-2024

Issue

Section

Articles

How to Cite

Wang, M., Ma, Q., & Peng, B. (2024). Stewart Patform Tchnology Research and Inovation. Academic Journal of Science and Technology, 13(1), 1-5. https://doi.org/10.54097/przvt907