Open Access
Issue
JNWPU
Volume 42, Number 1, February 2024
Page(s) 138 - 148
DOI https://doi.org/10.1051/jnwpu/20244210138
Published online 29 March 2024
  1. WANG Weiping, MENG Deyuan. Output feedback motion control of pneumatic servo systems withdesired compensation approach[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2020, 42(10): 235–243 [Google Scholar]
  2. HO C M, TRAN D T, AHN K K. Adaptive sliding mode control based nonlinear disturbance observer for active suspension with pneumatic spring[J]. Journal of Sound and Vibration, 2021, 509: 116241. [Article] [Google Scholar]
  3. AZAHAR M I P, IRAWAN A, ISMAIL R M T R. Self-tuning hybrid fuzzy sliding surface control for pneumatic servo system positioning[J]. Control Engineering Practice, 2021, 113(6): 1–20 [Google Scholar]
  4. JIANG Renhua, LIU Chuang, NING Yinhang. Adaptive friction torque compensation control strategy for radar servo system[J]. Chinese Journal of Mechanical Engineering, 2019, 55(18): 187–195. [Article] (in Chinese) [Google Scholar]
  5. ZHAO Jianbo. Research on phase control method of friction welding based on model reference robust adaptive[D]. Zhenjiang: Jiangsu University of Science and Technology, 2019 (in Chinese) [Google Scholar]
  6. NGUYEN Thuy-Duong, PHAM Van-Hung. Study of the effects of relative humidity and velocity on the friction characteristics of pneumatic cylinders[J]. International Journal of Modern Physics B, 2020, 34: 22–24 [Google Scholar]
  7. MELISSA Schluter, EDUARDO Andre Perondi. Mathematical modeling with friction of a SCARA robot driven by pneumatic semi-rotary actuators[J]. IEEE Latin America Transactions, 2020, 18(6): 1066–1076. [Article] [Google Scholar]
  8. ZENG P F, JIANG G D, ZOU C, et al. Nonlinear friction compensation of a flexible robotic joint with harmonic drive[C]//International Conference on Mechatronics Technology, 2017: 39–44 [Google Scholar]
  9. CUI Bo. Research on pre-sliding friction suppression method of precision direct drive table based on flexible structure[D]. Xi'an: Xi'an University of Technology, 2019 (in Chinese) [Google Scholar]
  10. LU Yongjie, ZHANG Juning, YANG Shaopu, et al. Study on improvement of LuGre dynamical model and its application in vehicle handling dynamics[J]. Journal of Mechanical Science and Technology, 2019, 33(2): 545–558. [Article] [Google Scholar]
  11. ZENG Fucheng. Research on pneumatic robot force control device[D]. Guangzhou: Guangdong University of Technology, 2019 (in Chinese) [Google Scholar]
  12. ZHANG Yeming, LI Kaimin, XU Meng, et al. Medical grabbing servo system with friction compensation based on the differential evolution algorithm[J]. Chinese Journal of Mechanical Engineering, 2021, 34(1): 1–15. [Article] [Google Scholar]
  13. TRAN X B. Nonlinear control of a pneumatic actuator based on a dynamic friction model[J]. Journal of Mechanical Engineering, 2021, 67(9): 458–472. [Article] [Google Scholar]
  14. GAO Peng, ZHAO Xianchao, LI Qiankun, et al. Friction compensation of two-degree-of-freedom swing head based on LuGre model[J]. Mechanical Design and Research, 2021, 37(1): 41–46. [Article] (in Chinese) [Google Scholar]
  15. WEI Qiong, JIAO Zongxia, WANG Jun, et al. Friction compensation control of pneumatic position servo system based on LuGre model[J]. Chinese Journal of Mechanical Engineering, 2018, 54(20): 131–138. [Article] (in Chinese) [Google Scholar]
  16. YAO Laipeng, HOU Baolin, LIU Xi. Adaptive terminal sliding mode control of ammunition transmission manipulator using friction compensation[J]. Journal of Shanghai Jiaotong University, 2020, 54(2): 144–151. [Article] (in Chinese) [Google Scholar]
  17. LI Shunli, MENG Deyuan, YANG Lin, et al. Adaptive robust control for trajectory tracking of pneumatic muscle driven joints[J]. Journal of Harbin Institute of Technology, 2021, 53(7): 134–143. [Article] (in Chinese) [Google Scholar]
  18. MENG Deyuan, TAO Guoliang, LI Aimin, et al. Adaptive robust control of high-speed on-off valve-controlled pneumatic position servo system[J]. Chinese Journal of Mechanical Engineering, 2015, 51(10): 180–188. [Article] (in Chinese) [Google Scholar]
  19. ZHANG Haiyun, MENG Deyuan, WANG Jin, et al. Indirect adaptive fuzzy-regulated optimal control for unknown continuous-time nonlinear systems[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(2): 155–169 [Google Scholar]
  20. NIU Shanshuai, WANG Junzheng, ZHANG Peng, et al. Dual-servo valve-controlled cylinder systembased on independent control of load ports[J]. Journal of Beijing Institute of Technology, 2019, 39(12): 1292–1297. [Article] (in Chinese) [Google Scholar]
  21. WANG Di, WANG Junzheng, WANG Shoukun. A new pressure control method in the system with separate control of actuator ports[C]//Proceedings of the 20156th International Conference on Manufacturing Science and Engineering, 2015 [Google Scholar]
  22. ZENG Yishan, HUANG He, LIU Changhai, et al. Analysis of energy-saving characteristics of load port independent system based on oil return compensation[J]. Machine Tools and Hydraulics, 2022, 50(13): 1–6. [Article] (in Chinese) [Google Scholar]
  23. CAI Maolin. Theory and practice of modern pneumatic technology lecture 1: flow characteristics of pneumatic components[J]. Hydraulic Pneumatics and Sealing, 2007(2): 44–48. [Article] (in Chinese) [Google Scholar]

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