Acknowledgement
This work is supported by the National Key R&D Program of China with Grant No. 2017YFE0300503, Comprehensive Research Facility for Fusion Technology Program of China under Contract No. 2018000052-73-01-001228 and Anhui Extreme Environment Robot Engineering Laboratory. The authors would like to express their sincere gratitude to all the members of CFETR engineering design team.
References
- D. Li, K. Lu, Y. Cheng, W. Zhao, S. Yang, Y. Zhang, J. Li, S. Shi, Dynamic analysis of multi-functional maintenance platform based on Newton-Euler method and improved virtual work principle, Nuclear Engineering and Technology 52 (2020) 2630-2637. https://doi.org/10.1016/j.net.2020.04.017
- H.D. Taghirad, Parallel Robots: Mechanics and Control, first ed., CRC, Boca, Raton, 2013.
- S. Staicu, Dynamics of Parallel Robots, first ed., Springer, Cham, Switzerland, 2019.
- B. Siciliano, O. Khatib, Springer Handbook of Robotics, first ed., Springer, Heidelberg, Berlin, 2008.
- Wenliang Deng, Baomin Qiang, Simulation of Fuzzy-PID control of dual cylinder synchronous hydraulic system, Machine Tool & Hydraulics 38 (2010) 28-30.
- J. Anzurez, L.A. Torres, I.I. Lazaro, Fuzzy logic control for a two tanks hydraulic system model, in: IEEE Electronics, Robotics & Automotive Mechanics Conference, Cuernavaca, Mexico, November 15-18, 2011.
- Y. Jing, C. Xiaoming, Z. Yang, Y. Li, Cross-coupled fuzzy PID control combined with full decoupling compensation method for double cylinder servo control system, J. Mech. Sci. Technol. 32 (2018) 2261-2271. https://doi.org/10.1007/s12206-018-0437-9
- L. Zhixing, K. Xing, Application of fuzzy PID controller for electro-hydraulic servo position control system, in: 2017 3rd IEEE International Conference on Control Science and Systems Engineering, Beijing, China, August 17-19, 2017.
- S. Qian, L. Hak-Keung, X. Chengbin, M. Chen, Adaptive neuro-fuzzy PID controller based on twin delayed deep deterministic policy gradient algorithm, Neurocomputing 402 (2020) 183-194. https://doi.org/10.1016/j.neucom.2020.03.063
- J. Xin, C. Kaikang, Z. Yang, J. Jiangtao, P. Jing, Simulation of hydraulic transplanting robot control system based on fuzzy PID controller, Measurement 164 (2020) 108023. https://doi.org/10.1016/j.measurement.2020.108023
- B. Wafa, Y. AbuRmaileh, Decentralized motion control for omnidirectional wheelchair tracking error elimination using PD-fuzzy-P and GA-PID controllers, Sensors 20 (2020) 3525. https://doi.org/10.3390/s20123525
- C.B. Jabeur, H. Seddik, Design of a PID optimized neural networks and PD fuzzy logic controllers for a two-wheeled mobile robot, Asian J. Contr. 23 (1) (2020) 23-41.
- S. Bongsub, P. Jongwon, D. Yun, Depth-adaptive controller for spent nuclear fuel inspections, Nuclear Engineering and Technology 52 (2020) 1669-1676. https://doi.org/10.1016/j.net.2020.01.019
- S. Hocheol, J. Seung Ho, C. You Rack, C. Kim, Development of a shared remote control robot for aerial work in nuclear power plants, Nuclear Engineering and Technology 50 (2018) 613-618. https://doi.org/10.1016/j.net.2018.03.006
- K. Jong Seog, Y.H. Jang, Development of stable walking robot for accident condition monitoring on uneven floors in a nuclear power plant, Nuclear Engineering and Technology 49 (2017) 632-637. https://doi.org/10.1016/j.net.2016.10.004
- W. Sun, Hydraulic Control System, first ed., National defence industry press, Beijing, China, 1985.
- L. Zhang, Design and Use of Hydraulic Control System, first ed., Chemical Industry Press, Beijing, China, 2013.
- J. Lu, Automatic Control Theory, second ed., Northwestern Polytechnical University Press, Xi'an, China, 2009.
- Q. Liang, Q. Su, AMESim Computer Simulation Guide for Hydraulic System, first ed., China Machine Press, Bejing, China, 2014.
- X. Xu, Z.X. Li, H.L. Qin, Design and integrated simulation of the electrohydraulic servo system based on AMESim and matlab, Appl. Mech. Mater. 44-47 (2011) 1355-1359. https://doi.org/10.4028/www.scientific.net/AMM.44-47.1355
- Q. Guodong, J. Aihong, C. Yong, Z. Wenlong, P. Hongtao, S. Shanshuang, Y. Song, Design and analysis of the hydraulic driving system for the circular transfer platform of the CFETR divertor, Fusion Eng. Des. 156 (2020) 111598. https://doi.org/10.1016/j.fusengdes.2020.111598
- X.U. Bao-Qiang, W.U. Yong, Y. Wang, L.P. Zhan, Modeling and simulation of hydraulic cylinder position control based on AMESim, Coal Mine Machinery 36 (2015) 113-115.
- B. Wang, R.P. Xiong, Y.W. Zhao, Y. Deng, C.Y. Cheng, S.H. Shu, Research on pressure control of dual-pump direct-drive electro-hydraulic servo system based on AMESim-MATLAB joint simulation, Chin. Hydraul. Pneum. (2020) 171-176, 01.