An approximately analytical solution method for the cable-driven parallel robot in FAST

Author:

Yin Jia-Ning,Jiang Peng,Yao Rui

Abstract

Abstract The Five-hundred-meter Aperture Spherical radio Telescope (FAST) is the largest single-dish aperture telescope with a cable-driven parallel robot introduced to achieve the highest sensitivity in the world. However, to realize the high-precision, mechanical equations of such a robot are always complicated, so that it is difficult to achieve real-time control by the traditional iterative method. In this regard, this paper proposes an approximately analytical solution method, which uses the approximately linear relationship between the main parameters of FAST to bypass some iterations. With the coefficients of the relationship extracted, static or quasi-static mechanical equations can be analytically solved. In this paper’s example, this method saves at least 90% of the calculating time and the calculated values are consistent with the experimental data. With such huge efficiency improvements, real-time and high-precision control of the FAST will no longer be difficult work. Besides, all the work in this paper is expected to be used in the FAST.

Publisher

IOP Publishing

Subject

Space and Planetary Science,Astronomy and Astrophysics

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. FAST: The Five-Hundred-Meter Aperture Spherical Radio Telescope;Engineering;2023-09

2. Error Analysis of the Cable-Driven Parallel Robot in the Upgraded Feed Cabin of FAST;2023 International Conference on Advanced Robotics and Mechatronics (ICARM);2023-07-08

3. Kinematic Analysis of a Spatial Cable-Driven Mechanism and Its Equivalent Hybrid Mechanism for Elliptical Trajectory;Machines;2023-07-04

4. Analytical Optimization Method for the New Redundant Configuration of the FAST Feed Cabin;2023 8th International Conference on Automation, Control and Robotics Engineering (CACRE);2023-07

5. Dimensional Optimization and Anti-Disturbance Analysis of an Upgraded Feed Mechanism in FAST;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

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