Predictive Motion Cueing Algorithm

Detta är en Kandidat-uppsats från KTH/Skolan för teknikvetenskap (SCI)

Författare: Dhindsa Harparan; Jonathan Malmström; [2018]

Nyckelord: ;

Sammanfattning: Advancements in vehicle development has made motion-based driving simulators an impor- tant and cost-e↵ective tool when validating and designing vehicles. Although one-to-one rendition of the real world is not a possibility due to hard limitations set by the rig, motion cueing algorithms intend to improve the perception of reality by mimicking the movements of a real vehicle into the movement of a motion platform. To further yield a greater motion envelope, prepositioning can be applied beforehand to gradually counteract the intended motion of a predetermined track model. The purpose of this thesis was to evaluate the potential e↵ects of a track based prepo- sitioning algorithm in correlation with motion cueing of a driving simulator. By means of implementing simple signals in the motion cueing algorithm, the benefits of the model is investigated. A significant improvement in displacement was noticeable for a long curve, represented by a step function, while no improvement was made when analysing a sinu- soidal chicane motion.

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