Chinese Journal of Mechanical Engineering >

2019 , Vol. 32 >Issue 4: 73 - 73

DOI: https://doi.org/10.1186/s10033-019-0382-2

Original Article

Optimal Design and Force Control of a Nine-Cable-Driven Parallel Mechanism for Lunar Takeof Simulation

  • Wangmin Yi ,
  • Yu Zheng ,
  • Weifang Wang ,
  • Xiaoqiang Tang ,
  • Xinjun Liu ,
  • Fanwei Meng
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  • 1. Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China;
    2. Beijing Institute of Spacecraft Environment Engineering, China Academy of Space Technology, Beijing 100094, China;
    3. Beijing Engineering Research Center of the Intelligent Assembly Technology and Equipment for Aerospace Product, Beijing Institute of Spacecraft Environment Engineering, Beijing 100094, China;
    4. School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China;
    5. Beijing Institute of Radio Measurement, Second Research Institute of the China Aerospace Science and Industry Group, Beijing 100854, China

Received date: 2018-07-03

  Revised date: 2019-02-24

  Online published: 2019-09-24

Supported by

Supported by National Natural Science Foundation of China (Grant No. 51405024)

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Abstract

Traditional simulation methods are unable to meet the requirements of lunar takeoff simulations, such as high force output precision, low cost, and repeated use. Considering that cable-driven parallel mechanisms have the advantages of high payload to weight ratio, potentially large workspace, and high-speed motion, these mechanisms have the potential to be used for lunar takeoff simulations. Thus, this paper presents a parallel mechanism driven by nine cables. The purpose of this study is to optimize the dimensions of the cable-driven parallel mechanism to meet dynamic workspace requirements under cable tension constraints. The dynamic workspace requirements are derived from the kinematical function requests of the lunar takeoff simulation equipment. Experimental design and response surface methods are adopted for building the surrogate mathematical model linking the optimal variables and the optimization indices. A set of dimensional parameters are determined by analyzing the surrogate mathematical model. The volume of the dynamic workspace increased by 46% after optimization. Besides, a force control method is proposed for calculating output vector and sinusoidal forces. A force control loop is introduced into the traditional position control loop to adjust the cable force precisely, while controlling the cable length. The effectiveness of the proposed control method is verified through experiments. A 5% vector output accuracy and 12 Hz undulation force output can be realized. This paper proposes a cable-driven parallel mechanism which can be used for lunar takeoff simulation.

Key words： Force control; Lunar takeoff simulation; Parallel robots; Surrogate mathematical model

Cite this article

Wangmin Yi , Yu Zheng , Weifang Wang , Xiaoqiang Tang , Xinjun Liu , Fanwei Meng . Optimal Design and Force Control of a Nine-Cable-Driven Parallel Mechanism for Lunar Takeof Simulation[J]. Chinese Journal of Mechanical Engineering, 2019 , 32(4) : 73 -73 . DOI: 10.1186/s10033-019-0382-2

References

[1] P J Ye, J C Huang, Z Z Sun, et al. The process and experience in the development of Chinese lunar probe. Sci. Sin. Tech., 2014, 44(6): 543-558. (in Chinese)
[2] V Belser, J Breuninger, R Laufer, et al. Aerodynamic and engineering design of a 1.5 seconds high quality microgravity drop tower facility. Acta Astronautica, 2016, 129(1): 335-344.
[3] J Zhao, N Liu, B Wu. Human motion simulation comparison research between neutral buoyancy and weightless environment. Manned Spaceflight, 2014, 20(6): 517-519. (in Chinese)
[4] P Yang, H T Wu, X L Yang, et al. Study of 6 DOF microgravity simulation platform. Machinery Design & Manufacture, 2015, 3: 5-10. (in Chinese)
[5] L F Li, Z Q Deng, H B Gao, et al. Active gravity compensation test bed for a six-DOF free-flying robot. 2015 IEEE International Conference on Information and Automation, Lijiang, China, August 8-10, 2015: 3135-3140.
[6] X Q Tang. An overview of the development for cable-driven parallel manipulator. Advances in Mechanical Engineering, 2014(1): 1-9.
[7] W F Wang, X Q Tang, Z F Shao, et al. Design and analysis of a wire-driven parallel mechanism for low-gravity environment simulation. Advances in Mechanical Engineering, 2014, 52(9): 1-8.
[8] A Ming, T Higuchi. Study on multiple degree-of-freedom positioning mechanism using wires (part 1) - Concept, design and control. International Journal of the Japan Society for Precision Engineering, 1994, 28(2): 131-138.
[9] R Verhoeven. Analysis of the workspace of tendon-based Stewart platforms. University of Duisburg-Essen PhD: University of Duisburg-Essen Press, 2004.
[10] C Gosselin. Global planning of dynamically feasible trajectories for three-DOF spatial cable-suspended parallel robots. Cable-Driven Parallel Robots, Berlin: Springer, 2013: 3-22.
[11] J P Merlet. Computing cross-sections of the workspace of a cable-driven parallel robot with 6 sagging cables having limited lengths. Advances in Robot Kinematics, 2018, 8: 1-8.
[12] R Yao, X Q Tang, J S Wang, et al. Dimensional optimization design of the four-cable-driven parallel manipulator in FAST. IEEE/ASME Transactions on Mechatronics, 2010, 15(6): 932-941.
[13] Y Bo, W W Shang. Wrench-feasible workspace based optimization of the fixed and moving platforms for cable-driven parallel manipulators. Robotics and Computer-Integrated Manufacturing, 2014, 30(6): 629-635.
[14] E Hernandez, S I Valdez, G Carbone, et al. Design optimization of a cable-driven parallel robot in upper arm training-rehabilitation processes. Multibody Mechatronic Systems, 2018, 54(3): 413-423.
[15] X Q Tang, L W Tang, J S Wang, et al. Workspace quality analysis and application for a completely restrained 3-Dof planar cable-driven parallel manipulator. Journal of Mechanical Science and Technology, 2013, 27(8): 2391-2399.
[16] A Ghasemi, M Eghtesad, M Farid. Workspace analysis for planar and spatial redundant cable robots. American Control Conference, Seattle, Washington, USA, June 11-13, 2009: 2389-2394.
[17] W B Lim, S H Yeo, G L Yang. Optimization of tension distribution for cable-driven manipulators using tension-level index. IEEE/ASME Transactions on Mechatronics, 2014, 19(2): 676-683.
[18] W B Lim, S H Yeo, G L Yang, et al. Tension optimization for cable-driven parallel manipulators using gradient projection. IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Budapest, Hungary, July 3-7, 2011: 73-78.
[19] C Y Zhang, L K Song, C W Fei, et al. Advanced multiple response surface method of sensitivity analysis for turbine blisk reliability with multi-physics coupling. Chinese Journal of Aeronautics, 2016, 29(4): 962-971.
[20] Y Wang, S Jin, S Penugonda, et al. Variability analysis of crosstalk among differential vias using polynomial-chaos and response surface methods. IEEE Transaction on Electromagnetic and Compatibility, 2017, 59(4): 1368-1378.
[21] Y K Sui, H P Yu. Improvement of response surface methodology and its application to engineering optimization. Beijing: Science Press, 2011. (in Chinese)
[22] S Kawamura, H Kino, C Won. High-speed manipulation by using parallel wire-driven robots. Robotica, 2000, 18(1): 13-21.
[23] S Fang, D Franitza, M Torlo, et al. Motion control of a tendon-based parallel manipulator using optimal tension distribution. IEEE/ASME Transactions on Mechatronics, 2004, 9(3): 561-568.
[24] W Kraus, V Schmidt, P Rajendra, et al. System identification and cable force control for a cable-driven parallel robot with industrial servo drives. IEEE International Conference on Robotics & Automation, Hong Kong, China, May 31-June 7, 2014: 5921-5926.
[25] W Kraus, M Kessler, A Pott. Pulley friction compensation for winch-integrated cable force measurement and verification on a cable-driven parallel robot. IEEE International Conference on Robotics & Automation, Washington, USA, May 26-30, 2015: 1627-1632.
[26] M A Khosravi, H D Taghirad. Dynamic modeling and control of parallel robots with elastic cables: Singular perturbation approach. IEEE Transactions on Robotics, 2014, 30(3): 694-704.
[27] A Aflakiyan, H Bayani, M T Masouleh. Computed torque control of a cable suspended parallel robot. Proceedings of the 3rd RSI International Conference on Robotics and Mechatronics, Tehran, Iran, October 7-9, 2015: 749-754.
[28] M A Khosravi, H D Taghirad. Robust PID control of fully-constrained cable driven parallel robots. Mechatronics, 2014, 24(2): 87-97.
[29] R Babaghasabha, M A Khosravi, H D Taghirad. Adaptive control of kntu planar cable-driven parallel robot with uncertainties in dynamic and kinematic parameters. Cable-Driven Parallel Robots: Proceedings of the Second International Conference on Cable-Driven Parallel Robots. Berlin, Springer International Publishing, 2015: 145-159.
[30] G Barrette, C M Gosselin. Determination of the dynamic workspace of cable-driven planar parallel mechanisms. Journal of Mechanical Design, 2005, 127(2): 242-248.
[31] P H Borgstrom, B L Jordan, G S Sukhatme, et al. Rapid computation of optimally safe tension distributions for parallel cable-driven robots. IEEE Transactions on Robotics, 2009, 25(6): 1271-1281.
[32] P Lafourcade, M Libre, C Reboulet. Design of a parallel wire-driven manipulator for wind tunnels. Proceedings of the Workshop on Fundamental Issues and Future Research Directions for Parallel Mechanisms and Manipulators, Quebec City, Quebec, Canada, October 3-4, 2002: 187-194.
[33] Q S Xu, Y Yang, Y J Liu, et al. An improved Latin hypercube sampling method to enhance numerical stability considering the correlation of input variables. IEEE Access, 2017, 5: 15197-15205.
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