Development of a GNSS/INS-based automatic navigation land levelling system

被引:13
作者
Jing, Yunpeng [1 ,2 ,3 ]
Li, Qian [1 ,2 ]
Ye, Wenshuai [1 ,2 ]
Liu, Gang [1 ,2 ,4 ]
机构
[1] China Agr Univ, Key Lab Smart Agr Syst, Minist Educ, Beijing 100083, Peoples R China
[2] China Agr Univ, Key Lab Agr Informat Acquisit Technol, Minist Agr & Rural Affairs, Beijing 100083, Peoples R China
[3] Beijing Forestry Univ, Sch Technol, Beijing 100083, Peoples R China
[4] China Agr Univ, Coll Informat & Elect Engn, Beijing, Peoples R China
关键词
Navigation land levelling; GNSS/INS integration; Cubature Kalman filter; Synchronous control; Software design; AUTONOMOUS TRACTOR; PATH; MACHINES;
D O I
10.1016/j.compag.2023.108187
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
In this study, an automatic navigation land levelling system based on the global navigation satellite system (GNSS) and an inertial navigation system (INS) was developed to improve the efficiency and accuracy of land levelling. The developed system platform was composed of an integrated positioning unit, steering and lifting controller, and vehicle control terminal. Automatic navigation land levelling vehicle terminal software was designed to realize data communication, processing and storage, and display. Through the cooperation of the platform and software, the system completed the automatic navigation terrain survey, automatic planning/ design and automatic navigation land levelling functions. In addition, a GNSS/INS integrated positioning method based on an adaptive square root cubature Kalman filter (ASRCKF) was designed, which obtained the correction positioning points of the tractor and scraper and adaptively predicted the state and measurement noise of the SRCKF. An automatic steering and lifting control method was designed to realize synchronous automatic navigation land levelling control, which was combined with the positioning method. Field experiments were carried out to validate the path tracking effect of the dynamic filtering navigation and a comparison of the manual and automatic land levelling operation performance. The navigation experimental results showed that the average root mean square error (RMSE) of the tractor and the scraper were 2.94 cm and 3.15 cm in tracking a straight path and 8.61 cm and 9.83 cm in tracking a curved path, respectively. The average RMSE of the path tracking based on the ASRCKF positioning method was reduced by 75.2% and 67.4% for the tractor and the scraper, respectively. The land levelling experimental results showed that the elevation distribution around the datum elevation of the automatic navigation land levelling increased by 8.7% compared to the manual operation. The GNSS/INS-based automatic navigation land levelling system can notably reduce the lateral position deviations, improve the control accuracy and land levelling efficiency, and meet the control accuracy requirements of unmanned tractor-scraper land levelling operations.
引用
收藏
页数:14
相关论文
共 27 条
[1]   Cubature Kalman Filters [J].
Arasaratnam, Ienkaran ;
Haykin, Simon .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2009, 54 (06) :1254-1269
[2]   Navigation system for agricultural machines: Nonlinear Model Predictive path tracking [J].
Backman, J. ;
Oksanen, T. ;
Visala, A. .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2012, 82 :32-43
[3]   DEMARCATION OF LEVEES IN IRRIGATED RICE FIELDS: LASER TECHNOLOGY VS. GNSS-RTK [J].
Bueno, M., V ;
de Campos, A. D. S. ;
da Silva, J. T. ;
Faria, L. C. ;
Silva Terra, F. ;
Parfitt, J. M. B. .
APPLIED ENGINEERING IN AGRICULTURE, 2019, 35 (03) :431-437
[4]  
Busko M., 2009, Geomat. Environ. Eng., V3, P19
[5]  
Dedrick A.R., 2007, Design and Operation of Farm Irrigation Systems, V2nd ed., P320, DOI [DOI 10.13031/2013.23693, 10.13031/2013.23693]
[6]   Tracing algorithm and control strategy for crawler rice combine harvester auxiliary navigation system [J].
Guan, Zhuohuai ;
Li, Ying ;
Mu, Senlin ;
Zhang, Min ;
Jiang, Tao ;
Li, Haitong ;
Wang, Gang ;
Wu, Chongyou .
BIOSYSTEMS ENGINEERING, 2021, 211 :50-62
[7]   Intelligent Coverage Path Planning for Agricultural Robots and Autonomous Machines on Three-Dimensional Terrain [J].
Hameed, I. A. .
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2014, 74 (3-4) :965-983
[8]   Design and field testing of a polygonal paddy infield path planner for unmanned tillage operations [J].
Han, Xiongzhe ;
Kim, Hak-Jin ;
Jeon, Chan-Woo ;
Moon, Hee Chang ;
Kim, Jung Hun ;
Seo, Il-Hwan .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2021, 191
[9]   Path tracking control method and performance test based on agricultural machinery pose correction [J].
He, Jie ;
Hu, Lian ;
Wang, Pei ;
Liu, Yuxuan ;
Man, Zhongxian ;
Tu, Tuanpeng ;
Yang, Luning ;
Li, Yuanyuan ;
Yi, Yanling ;
Li, Weicong ;
Luo, Xiwen .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, 200
[10]   Positioning correction method for rice transplanters based on the attitude of the implement [J].
He, Jie ;
Luo, Xiwen ;
Zhang, Zhigang ;
Wang, Pei ;
He, Jing ;
Yue, Binbin ;
Ding, Fan ;
Zhu, Qiming .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 176