New motion cueing algorithm for driving simulator based on variant harmonic wavelet

As one of key technologies in movement perception simulation, motion cueing algorithm (MCA) is usually used for exploiting driving simulator within limited workspace and bounded dynamic characteristics. Several MCAs are investigated for movement perception simulation, however, the classical washout algorithm has shortage in time delay, the optimal washout algorithm completely depends on accurate vestibular model, while the adaptive washout algorithm needs long computational time. So the result of these defects is to reduce driving simulation fidelity. In order to meet the performances of high fidelity and real-time for driving simulator, this paper proposes a novel hybrid coordination motion cueing algorithm based on variant harmonic wavelet. The variant harmonic wavelet, mutating from traditional harmonic wavelet, has only three special wavelets. For its outstanding performances, box-shaped filter characteristics and zero phase shift, it would enhance driving sensation fidelity and real-time. Meanwhile, hybrid tilt and over-tilt coordination mechanism are introduced to design the new MCA for providing a special coordination strategy. Finally, the effectiveness and superiority of the new MCA are validated by simulation.