Analyzing the influence of automatic steering system on the trajectory tracking accuracy of intelligent vehicle. (July 2018)
- Record Type:
- Journal Article
- Title:
- Analyzing the influence of automatic steering system on the trajectory tracking accuracy of intelligent vehicle. (July 2018)
- Main Title:
- Analyzing the influence of automatic steering system on the trajectory tracking accuracy of intelligent vehicle
- Authors:
- Wang, Ruochen
Ye, Qing
Cai, Yingfeng
Wang, Yong
Xu, Xing
Meng, Xiangpeng
Long, Chen - Abstract:
- Highlight: A new vision guided IV trajectory tracking control algorithm based on expected yaw velocity is developed to compensate the limitation of traditional vision guided IV trajectory tracking controller in trajectory tracking accuracy and robustness. The back-stepping sliding mode controller is adopted to promote the tracking accuracy and robustness of intelligent vehicle. A new structure of automatic steering system is proposed, and the interference torques models of automatic steering system are established through the mechanism of tire structure. The influence of nonlinear factors of automatic steering system such as the interference torques and time delay on IV trajectory tracking is analyzed through the contrast simulations. Abstract: In this paper, the influence of interference torques, time delay and noise of automatic steering system (ASS) on trajectory tracking accuracy of intelligent vehicle (IV) is analyzed to further study the coupling mechanism between automatic steering control system and IV trajectory tracking control system. The system architecture of ASS and IV trajectory tracking control system is briefly introduced at first. The correlation controller models are then established based on nonlinear ASS and IV dynamic models. The influence of ASS on the trajectory tracking of IV is validated through simulations with various forms of ASS nonlinear factors. And the results show clearly that the interference torques of ASS have great influence on theHighlight: A new vision guided IV trajectory tracking control algorithm based on expected yaw velocity is developed to compensate the limitation of traditional vision guided IV trajectory tracking controller in trajectory tracking accuracy and robustness. The back-stepping sliding mode controller is adopted to promote the tracking accuracy and robustness of intelligent vehicle. A new structure of automatic steering system is proposed, and the interference torques models of automatic steering system are established through the mechanism of tire structure. The influence of nonlinear factors of automatic steering system such as the interference torques and time delay on IV trajectory tracking is analyzed through the contrast simulations. Abstract: In this paper, the influence of interference torques, time delay and noise of automatic steering system (ASS) on trajectory tracking accuracy of intelligent vehicle (IV) is analyzed to further study the coupling mechanism between automatic steering control system and IV trajectory tracking control system. The system architecture of ASS and IV trajectory tracking control system is briefly introduced at first. The correlation controller models are then established based on nonlinear ASS and IV dynamic models. The influence of ASS on the trajectory tracking of IV is validated through simulations with various forms of ASS nonlinear factors. And the results show clearly that the interference torques of ASS have great influence on the accuracy of IV trajectory tracking system, especially in the lateral deviation of IV trajectory tracking system, the noise and time delay of ASS have almost no influence on lateral deviation and azimuth deviation of IV trajectory tracking. … (more)
- Is Part Of:
- Advances in engineering software. Volume 121(2018)
- Journal:
- Advances in engineering software
- Issue:
- Volume 121(2018)
- Issue Display:
- Volume 121, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 121
- Issue:
- 2018
- Issue Sort Value:
- 2018-0121-2018-0000
- Page Start:
- 188
- Page End:
- 196
- Publication Date:
- 2018-07
- Subjects:
- Automatic steering system -- Intelligent vehicle -- Trajectory tracking control system -- Nonlinear analysis -- Nonlinear dynamic model
Computer-aided engineering -- Periodicals
Engineering -- Computer programs -- Periodicals
Engineering -- Software -- Periodicals
Periodicals
620.0028553 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09659978 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.advengsoft.2018.04.011 ↗
- Languages:
- English
- ISSNs:
- 0965-9978
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0705.450000
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British Library HMNTS - ELD Digital store - Ingest File:
- 11198.xml