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Adaptive motion cueing algorithm based on fuzzy logic using online dexterity and direction monitoring
Motion cueing algorithm (MCA) is used to reproduce the realistic driving motion feeling for
the user of the virtual vehicle using linear acceleration and angular velocity motion signals …
the user of the virtual vehicle using linear acceleration and angular velocity motion signals …
Prediction of motion simulator signals using time-series neural networks
A motion cueing algorithm (MCA) is employed to transform the linear and angular motion
signals generated from a motion simulator without violating the physical and dynamical …
signals generated from a motion simulator without violating the physical and dynamical …
Prepositioning of a land vehicle simulation-based motion platform using fuzzy logic and neural network
The motion cueing algorithms (MCAs) is the method that reproduces the motion sensation of
the real vehicle for the users of simulation-based motion platforms (SBMPs). Classical MCA …
the real vehicle for the users of simulation-based motion platforms (SBMPs). Classical MCA …
An optimal motion cueing algorithm using the inverse kinematic solution of the hexapod simulation platform
The vehicle motion signals is not able to be replicated using the simulation-based motion
platform (SBMP) because of the workspace boundaries. The workspace limitations are …
platform (SBMP) because of the workspace boundaries. The workspace limitations are …
A time-varying weight MPC-based motion cueing algorithm for motion simulation platform
The motion cueing algorithm (MCA) is playing the most critical role in motion simulation
platform (MSP) to reproduce the realistic motion sensation of the real car for the MSP's users …
platform (MSP) to reproduce the realistic motion sensation of the real car for the MSP's users …
High-fidelity hexarot simulation-based motion platform using fuzzy incremental controller and model predictive control-based motion cueing algorithm
The real vehicle motion signals cannot be applied for the simulation-based motion platforms
(SBMPs) due to the restricted workspace of the SBMPs. The motion cueing algorithms …
(SBMPs) due to the restricted workspace of the SBMPs. The motion cueing algorithms …
Time series prediction of driving motion scenarios using fuzzy neural networks: Motion signal prediction using FNNs
Motion signals can be reproduced using a simulation-based motion platform (SBMP) and
virtual reality. In this respect, time series prediction of the driving motion scenarios can …
virtual reality. In this respect, time series prediction of the driving motion scenarios can …
A new gantry-tau-based mechanism using spherical wrist and model predictive control-based motion cueing algorithm
The 3 degree-of-freedom Gantry-Tau manipulator with the addition of the spherical wrist
mechanism which is called Gantry-Tau-3R is designed as a high-G simulation-based motion …
mechanism which is called Gantry-Tau-3R is designed as a high-G simulation-based motion …
A new fuzzy logic based adaptive motion cueing algorithm using parallel simulation-based motion platform
Parallel manipulators are recently used in most motion simulation laboratories as they can
easily generate six degrees of freedom motion. Recently, fuzzy logic-based adaptive motion …
easily generate six degrees of freedom motion. Recently, fuzzy logic-based adaptive motion …
A model predictive control-based motion cueing algorithm using an optimized nonlinear scaling for driving simulators
Driving motion simulators are widely used for their reliable, safe and cost-effective abilities to
replicate real vehicle driving experience for simulator drivers in virtual environment. As all …
replicate real vehicle driving experience for simulator drivers in virtual environment. As all …