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Future reference prediction in model predictive control based driving simulators
conference contribution
posted on 2016-12-01, 00:00 authored by Arash Mohammadi, Houshyar AsadiHoushyar Asadi, Shady MohamedShady Mohamed, Kyle Nelson, Saeid NahavandiThe goal of a driving simulator is to produce an environment for a driver similar to the real driving scenario. Motion cueing algorithms are used to produce a realistic motion while respecting the workspace limitations and motion simulator boundaries. Model Predictive Control has become popular recently for motion cueing. However, in this control method, the optimization is based on a predefined constant future input trajectory while it is not a practical assumption. In this research, a method is proposed to predict the future reference based on the finite history of input. This method does not require the position trajectory to follow a specific road. Simulation results show the effectiveness of the proposed model predictive control method in terms of realistic motion sensation for a driver.
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Australian Conference on Robotics and Automation (2016 : Brisbane, Qld.)Publisher
Australian Robotics and Automation AssociationLocation
Brisbane, Qld.Place of publication
Brisbane, Qld.Start date
2016-12-05End date
2016-12-06Language
engPublication classification
E Conference publication; E1 Full written paper - refereedCopyright notice
2016, ACRATitle of proceedings
ACRA 2016 : Proceedings of the ARAA Australian Conference on Robotics and AutomationUsage metrics
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