Error Compensation in Position and Orientation of Mobile Platform of Cable-Driven Robots via Tensile Forces Measurement
https://doi.org/10.17587/mau.23.515-522
Abstract
The paper deals with a problem of position and orientation errors of mobile platform of large-sized parallel cabledriven robots. The advantages of parallel cable-driven robots are simplicity of structure and scalability. At the same time, parallel cable-driven robots are difficult to design due to the specific problems such as collision of cables, geometric and structural nonlinearity in the mathematical models of the main elements of the robot. In this paper, we consider the problem of eliminating the uncertainty associated with deformations of the elements of the robot structure. Such a configuration of the cable system is selected, in which the proximal anchor points of some cables can be considered without errors relatively to given positions. The cable system of a large-sized robot is mounted on the towers. The errors in the proximal anchor points relatively to given positions become significant due to the significant deformations of upper sections of the towers. The deformations of the towers in lower sections can be considered insignificant, and the proximal anchor points have to be located no higher than the middle of the tower to be considered corresponding to a given position. The aim is to compensate the position and orientation errors of the mobile platform of large-sized parallel cable-driven robot due to deformations of the cables and towers. The task suppose uncertainty about the coordinates of the proximal anchor points of the upper cables. Cable deformations are determined from Hooke’s law using tensile forces measurement in cables. The problem of compensations is solved in two stages. At the first stage, the approximate bias of the center of mass of the mobile platform along the vertical coordinate is found. It is defined as the height of the truncated pyramid, the edges of which are formed by stretched lower cables. At the second stage, rotation angles of the mobile platform are determined. Using the rotation matrix, biases in the heights of each distal anchor points are found in the tool coordinate system. In the studied cases PID regulation is used, however, more advanced techniques of automatic regulation, for example, optimal control, can provide better results. The tasks are applied to the model of large-sized symmetric parallel eight-cable-driven robot.
About the Authors
E. A. MarchukRussian Federation
Innopolis, 420500
Ya. V. Kalinin
Russian Federation
Innopolis, 420500
A. V. Maloletov
Russian Federation
Innopolis, 420500
Volgograd, 400005
References
1. Samset I. Winch and cable systems, Springer Netherlands, 1985, 534 p.
2. McNeil I. An Encyclopaedia of the history of technology, Routledge, 1996, 1084 p.
3. Kim P. W. Scientific Disciplines of Geojunggi (the Traditional Crane) in Korean Science, Technology and History Class, EURASIA Journal of Mathematics Sci-ence and Technology Education, 2017, iss. 13(9), pp. 6147—6163.
4. Gujin Tushu Jicheng. Imperial Encyclopaedia — Manufacture, vol. 800 (1700—1725), Taiwan, 1977, 121 p.
5. Landsberger S. E. Design and construction of a cablecontrolled, parallel link ma-nipulator, Massachusetts Institute of Technology, 1984.
6. Albus J. S. Cable arrangement and lifting platform for stabilized load lifting US Pa-tent No. 4 883 184, Nov. 28, 1989.
7. Kawamura S., Choe W., Tanaka S., Pandian S. R. Development of an ultrahigh speed robot FALCON using wire drive system, Proceedings of 1995 IEEE Interna-tional Conference on Robotics and Automation, 1995, vol. 1, pp. 215—220.
8. Maeda K., Tadokoro S., Takamori T., Hiller M, Verhoeven R. On design of a redundant wire-driven parallel robot WARP manipulator, Proceedings 1999 IEEE International Conference on Robotics and Automation, 1999, vol. 2, pp. 895—900.
9. Bruckmann T., Pott A., Hiller M. Calculating force distributions for redundantly actuated tendon-based Stewart platforms, Advances in Robot Kinematics, 2006, pp. 403—412.
10. Pott A., M therich H., Kraus W., Schmidt V., Miermeister P., Verl A. IPAne-ma: A family of Cable-Driven Parallel Robots for Industrial Applications, Cable-Driven Parallel Robots. Mechanisms and Machine Science, 2012, vol. 12, pp. 19—34.
11. Rodriguez M. Parallel Cable Robotics for Improving Maintenance and Logistics of Large-Scale Products, Tecnalia, 2013.
12. Tempel P., Herve P., Tempier O., Gouttefarde M., Pott A. Estimating inertial pa-rameters of suspended cable-driven parallel robots — Use case on CoGiRo, 2017 IEEE International Conference on Robotics and Automation (ICRA), 2017, pp. 6093—6098.
13. Marchuk E., Kalinin Ya., Maloletov A. Mathematical Modeling of Eight-Cable-Driven Parallel Robot, 2021 International Conference “Nonlinearity, Information and Robotics” (NIR), 2021, pp. 1—5.
14. Irvine H. M. Cable structures, The MIT Press, 1981, 259 p.
15. Merkin D. R. Vvedenie v mehaniku gibkoy niti (Introduction to the mechanics of a flexible thread), Moscow, Nauka, 1980, 240 p. (in Russian).
16. Kalinin Ya. V., Marchuk E. A. Specifity of Including of Structural Nonlinearity in Model of Dynamics of Cable-Driven Robot, Mekhatronika, Avtomatizatsiya, Upravlenie, 2021, vol. 22, no. 10, pp. 547—552 (in Russian).
17. Maloletov A. V., Fadeev M. Y., Klimchik A. S. Error Analysis in Solving the In-verse Problem of the Cable-Driven Parallel Underactuated Robot Kinematics and Methods for Their Elimination, IFAC-PapersOnLine. 9th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2019, 2019, pp. 1156—1161.
18. Pott A. Cable-Driven Parallel Robots, Springer International Publishing, 2018, 465 p.
19. Zi B., Qian S. Design, Analysis and Control of Cable-uspended Parallel Robots and Its Applications, Springer Singapore, 2017, 299 p.
20. Boby R. A., Maloletov A., Klimchik A. Measurement of End-effector Pose Errors and the Cable Profile of Cable-Driven Robot using Monocular Camera, Journal of Intelligent and Robotic Systems: Theory and Applications, 2021, iss. 103 (2), pp. 32.
21. Akhmetzyanov A., Rassabin M., Maloletov A., Fadeev M., Klimchik A. Model Free Error Compensation for Cable-Driven Robot Based on Deep Learning with Sim2real Transfer Learning, Lecture Notes in Electrical Engineering, 793, 2022, pp. 479—496.
Review
For citations:
Marchuk E.A., Kalinin Ya.V., Maloletov A.V. Error Compensation in Position and Orientation of Mobile Platform of Cable-Driven Robots via Tensile Forces Measurement. Mekhatronika, Avtomatizatsiya, Upravlenie. 2022;23(10):515-522. (In Russ.) https://doi.org/10.17587/mau.23.515-522