Multiobjective Optimal Parking Maneuver Planning of Autonomous Wheeled Vehicles

doi:10.1109/TIE.2019.2962482

	Multiobjective Optimal Parking Maneuver Planning of Autonomous Wheeled Vehicles
	Chai, Runqi 4,5; Tsourdos, Antonios 5; Savvaris, Al 5; Chai, Senchun ; Xia, Yuanqing 4; Chen, C. L. Philip 1,2,3
刊名	IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
	2020-12-01
卷号	67 期号:12 页码:10809-10821
关键词	Optimization Trajectory Planning Autonomous vehicles Wheels Acceleration Adaptation models Adaptive parameter controller automatic parking trajectory optimization tradeoff front
ISSN号	0278-0046
DOI	10.1109/TIE.2019.2962482
通讯作者	Chai, Runqi(r.chai@cranfield.ac.uk)
英文摘要	This article proposes a computational trajectory optimization framework for solving the problem of multiobjective automatic parking motion planning. Constrained automatic parking maneuver problem is usually difficult to solve because of some practical limitations and requirements. This problem becomes more challenging when multiple objectives are required to be optimized simultaneously. The designed approach employs a swarm intelligent algorithm to produce the tradeoff front along the objective space. In order to enhance the local search ability of the algorithm, a gradient operation is utilized to update the solution. In addition, since the evolutionary process tends to be sensitive with respect to the flight control parameters, a novel adaptive parameter controller is designed and incorporated in the algorithm framework such that the proposed method can dynamically balance the exploitation and exploration. The performance of using the designed multiobjective strategy is validated and analyzed by performing a number of simulation and experimental studies. The results indicate that the present approach can provide reliable solutions and it can outperform other existing approaches investigated in this article.
WOS关键词	PARTICLE SWARM OPTIMIZATION ; TRAJECTORY OPTIMIZATION ; EVOLUTIONARY ; TRACKING
WOS研究方向	Automation & Control Systems ; Engineering ; Instruments & Instrumentation
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000564342400078
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/41510]
专题	离退休人员
通讯作者	Chai, Runqi
作者单位	1.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100080, Peoples R China 2.Dalian Maritime Univ, Dept Nav, Dalian 116026, Peoples R China 3.Univ Macau, Fac Sci & Technol, Macau 999078, Peoples R China 4.Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China 5.Cranfield Univ, Sch Aerosp Transport & Mfg, Cranfield MK43 0AL, Beds, England
推荐引用方式 GB/T 7714	Chai, Runqi,Tsourdos, Antonios,Savvaris, Al,et al. Multiobjective Optimal Parking Maneuver Planning of Autonomous Wheeled Vehicles[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2020,67(12):10809-10821.
APA	Chai, Runqi,Tsourdos, Antonios,Savvaris, Al,Chai, Senchun,Xia, Yuanqing,&Chen, C. L. Philip.(2020).Multiobjective Optimal Parking Maneuver Planning of Autonomous Wheeled Vehicles.IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,67(12),10809-10821.
MLA	Chai, Runqi,et al."Multiobjective Optimal Parking Maneuver Planning of Autonomous Wheeled Vehicles".IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 67.12(2020):10809-10821.