Development of the automatic navigation system for combine harvester based on GNSS
Abstract
Keywords: automatic navigation system, combine harvester, GNSS, development, dynamic calibration, variable universe adaptive fuzzy control
DOI: 10.25165/j.ijabe.20211405.6596
Citation: Li S C, Zhang M, Cao R Y, Ji Y H, Zhang Z Q, Li H, et al. Development of the automatic navigation system for combine harvester based on GNSS. Int J Agric & Biol Eng, 2021; 14(5): 163–171.
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Zhao C J, Yang X T, Li B, Li M, Yan H. The retrospect and prospect of agricultural information technology in China. Journal of Agriculture, 2018; 8(1): 180–186. (in Chinese)
Ji C Y, Zhou J. Current Situation of Navigation Technologies for Agricultural Machinery. Transactions of the CSAM, 2014; 45(9): 44–54. (in Chinese)
Weltzien C, Shamshiri R R. SunBot: Autonomous nursing assistant for emission-free berry production, general concepts and framework. LAND.TECHNIK AgEng, 2019; pp.463–470.
Shamshiri R R, Weltzien C, Hameed I A, Yule I J, Grift T E, Balasundram S K, et al. Research and development in agricultural robotics: A perspective of digital farming. Int J Agric & Biol Eng, 2018; 11(4):1–11.
Ding Y C, Wang S M. Vision navigation control system for combine harvester. Transactions of the CSAM, 2010; 41(5): 137–142. (in Chinese)
Ding Y C, Liao Q X, Huang H D, Duan H B. Large curvature path detection for combine harvester based on vision navigation. Transactions of the CSAM, 2011; 42(S1): 122–127. (in Chinese)
Wu G, Tan Y, Zheng Y J, Wang S M. Walking goal line detection based on machine vision on grain combine. Transactions of the CSAM, 2012; 43(S1): 266–270. (in Chinese)
Wei L G, Zhang X C, Wang F Z, Che Y, Sun X W, Wang Z W. Design and experiment of harvest boundary online recognition system for rice and wheat combine harvester based on laser detection. Transactions of the CSAM, 2017; 33(S1): 30–35. (in Chinese)
Guo W. Design and study of automatic navigation control system for sugarcane harvester. Master dissertation. Qinhuangdao: Yanshan University, 2018; 75p. (in Chinese)
Xu N, Zhou W M. Design of autonomous path planning for harvester based on PCA pattern recognition algorithm. Journal of Agricultural Mechanization Research, 2019; 41(4): 210–214. (in Chinese)
Mungwongsa A, Saengprachatanarug K, Radpukdee T. Design of an Automatic Steering System in a Small Farm Tractor. 2018 21st International Symposium on Wireless Personal Multimedia
Communications (WPMC), 2018; pp.224–229.
Yu G R, Bai K Y, Chen M C. Applications of Taguchi method to fuzzy control for path tracking of a wheeled mobile robot. 2018 IEEE International Conference on Applied System Innovation (ICASI). IEEE, 2018; pp.453–456.
Gao F Y, Wang Z, Bai X P, Xi W L. Design of Row Guidance Control System for Combine Corn Harvester. 2019 2nd International Conference on Information Systems and Computer Aided Education (ICISCAE), 2019; pp.354–358.
Nam K, Oh S, Fujimoto H, Hori Y. Robust yaw stability control for electric vehicles based on active front steering control through a steer-by-wire system. International Journal of Automotive Technology, 2012; 13(7): 1169–1176.
Takai R, Yang L L, Noguchi N. Development of a crowler-type robot tractor using RTK-GPS and IMU. Engineering in Agriculture. Environment and Food, 2014; 7(4): 143–147.
Backman J, Oksanen T, Visala A. Navigation system for agricultural machines: Nonlinear model predictive path tracking. Computers and Electronics in Agriculture, 2012; 82: 32–43.
Tang X T, Tao J F, Li Z T, Li Y M, Liu C L. Fuzzy control optimization method for stability of path tracking system of automatic transplanter. Transactions of the CSAM, 2018; 49(1): 29–34. (in Chinese)
Ding W, Ge Z Y, Lu Z Z. The design of GPS assembled with fuzzy control in navigation system of field robot. Journal of Agricultural Mechanization Research, 2015; 37(9): 109–112. (in Chinese)
Guo W B, Chen Y. Fuzzy control based autonomous navigation for a weeding robot. Robot, 2010; 32(2): 204–209. (in Chinese)
Zhang Y, Li Y M, Liu X T, Tao J F, Liu C L, Li R C. Fuzzy adaptive control method for autonomous rice seeder. Transactions of the CSAM, 2018; 49(10): 30–37. (in Chinese)
Zhang Y M. Research on automatic navigation control system of agricultural machinery based on fuzzy control. Jiangsu Agricultural Sciences, 2017; 45(17): 241–245. (in Chinese)
Abdalla T Y, Abed A A, Ahmed A A. Mobile robot navigation using PSO-optimized fuzzy artificial potential field with fuzzy control. Journal of Intelligent and Fuzzy Systems, 2017; 32(6): 3893–3908.
Rath A K, Parhi D R, Das H C, Kumar B P, Muni K M, Salony K. Path optimization for navigation of a humanoid robot using hybridized fuzzy-genetic algorithm. International journal of intelligent unmanned systems, 2017; 7(3): 112–119.
Ma Y, Zhang W Q, Qureshi W S, Gao C, Zhang C L, Li W. Autonomous navigation for a wolfberry picking robot using visual cues and fuzzy control. Information Processing in Agriculture, 2020; 8(1): 15–16.
Li S C, Cao R Y, Wei S, Ji Y H, Zhang M, Li H. Development of multi-vehicle cooperative navigation communication system based on TD-LTE. Transactions of the CSAM, 2017; 48(S1): 45–51. (in Chinese)
Li S C, Xu H Z, Ji Y H, Cao R Y, Zhang M, Li H. Development of a following agricultural machinery automatic navigation system. Computers and Electronics in Agriculture, 2019; 158: 335–344.
Yu G M. Vehicle kinematic model and vehicle dynamic model aided the vehicle autonomous navigation system. Master dissertation. Nanchang: Nanchang University, 2014; 66p. (in Chinese)
Bai X P, Hu J T, Gao L, Zhang T. A sliding-mode variable-structure controller based on exact feedback linearization for automatic navigation system. Int J Agric & Biol Eng, 2016; 9(5): 158–165.
Zhou J J, Zhang M, Wang M H, Liu G, Ji C F, Zhang Z G. Path tracking for agricultural vehicle based on fuzzy control. Transactions of the CSAM, 2009; 40(4): 151–156. (in Chinese)
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