Authors:
Patrick Biemelt, Sven Mertin, Nico Rüddenklau, Sandra Gausemeier, Ansgar Trächtler
Keywords:
motion cueing, washout algorithm, dynamic motion platform control, hybrid kinematics
Abstract:
Interactive driving simulation has become a key technology to support the development and optimization process of modern vehicle components and driver assistance systems both in academic research and in the automotive industry. However, the validity of the results obtained within the virtual environment depends essentially on the adequate reproduction of the simulated vehicle movements and the corresponding immersion of the driver. For that reason, specific motion platform control strategies, so-called Motion Cueing Algorithms, are used to replicate the simulated accelerations and angular velocities within the physical limitations of the driving simulator best possible. In this contribution, we present the design and evaluation of a novel filter-based control approach for this task, using a hybrid kinematics motion system as an application example. For this purpose, the core of the paper deals with a detailed system theoretical analysis of the control strategy and its transferability to other motion systems. The overall performance and the added value of the proposed approach are evaluated using measurement data of a standard driving scenario in comparison with the established Classical Washout Algorithm.
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