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The Impact of Attitude Feedback on the Control Performance and Energy Consumption in the Path-Following of Unmanned Rollers
Technical Paper
2020-01-5029
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The unmanned roller is one of the most popular construction vehicles, for which the accurate path-following is one of the most important control task. The dual-antenna Global Positioning System (GPS), usually mounted on the top of the cabin and the front drum separately, is used to approximately measure the position and heading direction at the contact patch between the wheel and the road. However, in the presence of large variation in the attitude of the roller, caused by the uneven construction site, there is bias in position and heading measurement due to the wobble of the roller. Obviously, this introduces several disturbances to the path-following control. In this paper, the Attitude Heading Reference System (AHRS) is used to measure the attitude information thereby corrects the position and heading of the roller measured by GPS only. The effects of such attitude-based correction on the path-following control performance of the unmanned roller are assessed in experiments by using a cascaded disturbance rejection structure. Results show that relative to the GPS only solution, the usage of attitude correction shows the following benefits, 1) reducing the positioning and heading error by 0.197m and 1.6° respectively; 2) improving the path-tracking accuracy by 64.8% and 36.2% in moving forward and backward respectively, 3) reducing the energy consumption of the steering motor by 27.47%.
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Wei, Z., Hui, X., Quanzhi, X., Kang, S. et al., "The Impact of Attitude Feedback on the Control Performance and Energy Consumption in the Path-Following of Unmanned Rollers," SAE Technical Paper 2020-01-5029, 2020, https://doi.org/10.4271/2020-01-5029.Data Sets - Support Documents
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References
- Wang , P. Research and Analysis on Control Requirements of Dam Clay Core Wall Filling Soil Materials Heilongjiang Water Conservancy Science and Technology 47 07 46 48 2019
- Gao , Y. , Cao , D. , and Shen , Y. Path-Following Control by Dynamic Virtual Terrain Field for Articulated Steer Vehicles Vehicle System Dynamics 1 25 2019
- Sasiadek , J.Z. and Lu , Y. Path Tracking of an Autonomous Lhd Articulated Vehicle IFAC Proceedings Volumes 38 1 2005
- Isin , O. and Uzunsoy , E. Predicting the Exhaust Emissions of a Spark Ignition Engine Using Adaptive Neuro-Fuzzy Inference System Arabian Journal for Science & Engineering 38 12 3485 3493 2013
- Jeon , S.H. and Jin , Y.C. Adaptive Feedback Linearization Control Based on Stator Fluxes Model for Induction Motors Transaction on Control Automation & Systems Engineering 4 4 273 278 2000
- Feng , Y. A Feedback Linearization Control Scheme Based on Direct Torque Control for Permanent Magnet Synchronous Motor China Control Conference 2018 6
- Nayl , T. , Nikolakopoulos , G. , and Gustafsson , T. Effect of Kinematic Parameters on MPC Based On-Line Motion Planning for an Articulated Vehicle Robotics and Autonomous Systems 70 2015
- Rains , F. and Thai , R. Technical Note: Evaluation of a Simple Pure Pursuit Path-Following Algorithm for an Autonomous Articulated-Steer Vehicle, Applied Engineering in Agriculture 30 30 367 374 2014
- Yeu , Park , Hong Path Tracking Using Vector Pursuit Algorithm for Tracked Vehicles Driving on the Soft Cohesive Soil International Joint International on Sice-icase 2007
- Kang , C. , Zhifeng , Z. , Yongquan , W. et al. Auto-Navigation Control System for Agricultural Machinery Based on GNSS Control and Instruments in Chemical Industry 41 11 1294 1297 2014
- Shuang , W. , Shichao , L. , Man , Z. , Yuhan , J. et al. Automatic Navigation Path Search and Turning Control of Agricultural Machinery Based on GNSS [J] Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE) 33 Supp.1 70 77 2017
- Takai , R. , Liangliang , Y. , and Noguchi , N. Development of a Crawler-Type Robot Tractor Using RTK-GPS and IMU Engineering in Agriculture, Environment and Food 7 4 143 147 2014
- Quinchia Alex , G. , Gianluca , F. , Emanuela , F. , Fabio , D. et al. A Comparison between Different Error Modeling of MEMS Applied to GPS/INS Integrated Systems Sensors 13 8 2013
- Lei , G. , Jingtao , H. , Taochang , L. , and Xiaoguang , L. Tractor Automatic Navigation Control System with Angular Speed as Steering Action Feedback Journal of Agricultural Mechanization Research 3 5 1003 1008 2015
- Taochang , L. , Jingtao , H. , and Lei , G. Agricultural Machine Path Tracking Method Irrelevant to Travel Speeds. Transactions Ofthe Chinese Society for Agricultural Machinery 45 2 59 65 2014
- Yongming , B. , Xiaojun , F. , Yang , M. , and Zhu , Z. Automatic Rolling Control of Unmanned Roller Based on Fuzzy Algorithms Journal of Tongji University 45 12 1830 1838 2017
- Yao , D. 2018