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contributor authorSoudbakhsh, Damoon
contributor authorEskandarian, Azim
contributor authorChichka, David
date accessioned2017-05-09T00:57:25Z
date available2017-05-09T00:57:25Z
date issued2013
identifier issn0022-0434
identifier otherds_135_4_041006.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/151320
description abstractIn this paper, the possibility of performing severe collision avoidance maneuvers using trajectory optimization is investigated. A two degree of freedom vehicle model was used to represent dynamics of the vehicle. First, a linear tire model was used to calculate the required steering angle to perform the desired evasive maneuver, and a neighboring optimal controller was designed. Second, direct trajectory optimization algorithm was used to find the optimal trajectory with a nonlinear tire model. To evaluate the results, the calculated steering angles were fed to a full vehicle dynamics model. It was shown that the neighboring optimal controller was able to accommodate the introduced disturbances. Comparison of the resultant trajectories with other desired trajectories showed that it results in a lower lateral acceleration profile and a smaller maximum lateral acceleration; thus the time to perform an obstacle avoidance maneuver can be reduced using this method. A simulation case study of a limited lateral acceleration with constrained direct trajectory optimization shows that using the proposed trajectory optimization technique requires less time than that of trapezoidal acceleration profile for a lane change maneuver.
publisherThe American Society of Mechanical Engineers (ASME)
titleVehicle Collision Avoidance Maneuvers With Limited Lateral Acceleration Using Optimal Trajectory Control
typeJournal Paper
journal volume135
journal issue4
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4023943
journal fristpage41006
journal lastpage41006
identifier eissn1528-9028
treeJournal of Dynamic Systems, Measurement, and Control:;2013:;volume( 135 ):;issue: 004
contenttypeFulltext


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