Open Access
Mechanics & Industry
Volume 24, 2023
Article Number 30
Number of page(s) 17
Published online 28 August 2023
  1. W. Wang et al., Active role of tea oil in medicine and health care, Food Nutr. China 48–51 (2007) [Google Scholar]
  2. Z. Gao et al., Development and experiment of the picking actuator of the comb-type camellia fruit picking machine, Trans. Chin. Soc. Agric. Eng. 29, 19–25 (2013) [Google Scholar]
  3. D. Huang, H. Rao, Research present situation of mechanized picking equipment for Camellia in China, For. Mach. Woodwork. Equip. 47, 11–13 (2019) [Google Scholar]
  4. L. Zhang et al., Design and experiment of mechanical picking platform of Camellia based on Matlab, China South. Agric. Mach. 48, 22–24 (2017) [Google Scholar]
  5. D. Wu et al., Research progress and trend of camellia fruit picking equipment in China, J. Chin. Agric. Mech. 43, 186–194 (2022) [Google Scholar]
  6. Z. Gao et al., Design and test of suspension vibrating Camellia picking executing mechanism, Trans. Chin. Soc. Agric. Eng. 35, 9–17 (2019) [Google Scholar]
  7. W. Qing, A. Li, Y. Li, J. Liu, H. Shen, G. Li, Microtension control for a yarn winding system with an IMC PID controller, Mech. Ind. 20 (2019) [Google Scholar]
  8. R.J. Mozhdehi, A.S. Ghafari, Optimal PID control of a nano-Newton CMOS-MEMS capacitive force sensor for biomedical applications, Mech. Ind. 15, 139–145 (2014) [CrossRef] [EDP Sciences] [Google Scholar]
  9. K.K. Ayten, M. Hüseyin Çiplak, A. Dumlu, Implementation a fractional-order adaptive model-based PID-type sliding mode speed control for wheeled mobile robot Proc. Inst. Mech. Eng. I: J. Syst. Control Eng. 233, 1067–1084 (2019) [CrossRef] [PubMed] [Google Scholar]
  10. M.S. Ayas, I.H. Altas, Designing and implementing a plug-in type repetitive controller for a redundantly actuated ankle rehabilitation robot, Proc. Inst. Mech. Eng. I: J. Syst. Control Eng. 232, 592–607 (2018) [Google Scholar]
  11. B. Lin, X. Su, X. Li, Fuzzy sliding mode control for active suspension system with proportional differential sliding mode observer, Asian J. Control 21, 264–276 (2019) [CrossRef] [MathSciNet] [Google Scholar]
  12. L. Kong, J. Yuan, New relaxed stabilization conditions for discrete-time Takagi-Sugeno fuzzy control systems, Asian J. Control 22, 1604–1616 (2020) [CrossRef] [MathSciNet] [Google Scholar]
  13. Z. Wang, Y.S. Huang, Robust decentralized adaptive fuzzy control of large-scale nonaffine nonlinear systems with strong interconnection and application to automated highway systems, Asian J. Control 21, 2387–2394 (2019) [CrossRef] [MathSciNet] [Google Scholar]
  14. D. Tufan, C.M. Serhat, Design and robustness analysis of fuzzy PID controller for automatic voltage regulator system using genetic algorithm, Trans. Inst. Meas. Control 44, 1862–1873 (2022) [CrossRef] [Google Scholar]
  15. S. Han, J.F. Dong, J. Zhou, Y.H. Chen, Adaptive fuzzy PID control strategy for vehicle active suspension based on road evaluation, Electronics 11, 921–921 (2022) [CrossRef] [MathSciNet] [Google Scholar]
  16. J. Xu, L. Xiao, M. Lin, X. Tan, Application of fuzzy PID position control algorithm in motion control system design of palletizing robot, Secur. Commun. Netw. (2022) [Google Scholar]
  17. F. Xue, Z. Fan, Kinematic control of a cable-driven snake-like manipulator for deep-water based on fuzzy PID controller, Proc. Inst. Mech. Eng. I: J. Syst. Control Eng. 236, 989–998 (2022) [Google Scholar]
  18. Q. Wu, Y. Zhang, Y. Chen, Design, control, and experimental verification of a soft knee exoskeleton for rehabilitation during walking, Proc. Inst. Mech. Eng. I: J. Syst. Control Eng. 236, 138–152 (2022) [Google Scholar]
  19. H.L. Guo, K.W. Li, Research on control system for sluice gate flow based on fuzzy neural network PID, Appl. Mech. Mater. 1945, 1779–1782 (2012) [Google Scholar]
  20. Z.C. Zhou, R. Chen, Design on fuzzy neural network PID control system of diesel engine, Adv. Mater. Res. 2534, 425–429 (2013) [Google Scholar]
  21. C. Gong, S. Yang, Research of oil pump control based on fuzzy neural network PID algorithm, Int. J. Adv. Netw. Monitor. Controls 3, 63–68 (2019) [Google Scholar]
  22. J.J. Xu, L. Xiao, M. Lin, X. Tan, Application of fuzzy PID position control algorithm in motion control system design of palletizing robot, Secur. Commun. Netw. (2022) [Google Scholar]
  23. Z. Gao et al., The design and analysis of Camellia fruit picking robots' picking monomers, J. Central South Univ. For. Technol. 36, 114–118 (2016) [Google Scholar]
  24. Z. Fan, L.J. Li, Y.H. Li et al., Trajectory planning of camellia fruit picking manipulator based on improved grey wolf optimization, Mach. Des. Res. 38, 195–201 (2022) [Google Scholar]
  25. S. Mirjalili, S. Mohammad Mirjalili, A. Lewis, Grey wolf optimizer, Adv. Eng. Softw. 64, 46–61 (2014) [CrossRef] [Google Scholar]
  26. W. Liu, Z. Guo, F. Jiang, G. Liu, B. Jin, D. Wang, Improved grey wolf optimizer based on cooperative attack strategy and its PID parameter optimization, J. Front. Comput. Sci. Technol. 17, 1–16 (2022) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.