Explicit MPC motion cueing algorithm for real-time driving simulator

Although Model Predictive Control (MPC) technology can now be found in a wide variety of industrial process control applications, its application in the field of Motion Cueing Algorithm (MCA) is a relatively new issue. Its efficiency has been proven in the driving simulation thanks to the authors' original work (explicit algorithm) and to others (implicit algorithm). The key for applying successfully the MPC algorithm in the field of MCA is to find an appropriate algorithm's stability condition and an efficient in-line or off-line optimization algorithm. The stability condition proposed by this paper reduces significantly the number of partitioned regions for explicit algorithm and thus guarantees the real time tilt-linear optimal motion cues with complicated constraints. This condition can also be applied in the implicit algorithm. The first test in Renault's simulator, ULTIMATE, has shown that the fidelity of driving simulation is effectively improved. It will greatly enhance the MPC algorithm's application in the field of simulator motion cues.

[1]  Alberto Bemporad,et al.  Robust model predictive control: A survey , 1998, Robustness in Identification and Control.

[2]  Meyer Nahon,et al.  Adaptive Simulator Motion Software with Supervisory Control , 1992 .

[3]  B. Augusto.  Motion Cueing in the Chalmers Driving Simulator : An Optimization-Based Control Approach , 2009 .

[4]  Jean-Pierre Colinot,et al.  The New PSA Peugeot-Citroen Advanced Driving Simulator Overall Design and Motion Cue Algorithm , 2007 .

[5]  Raphael Sivan,et al.  An Optimal Control Approach to the Design of Moving Flight Simulators , 1982, IEEE Transactions on Systems, Man, and Cybernetics.

[6]  Alessandro Beghi,et al.  An MPC approach to the design of motion cueing algorithms for driving simulators , 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[7]  Frank M. Cardullo,et al.  Motion Cueing Algorithm Development: Human-Centered Linear and Nonlinear Approaches , 2005 .

[8]  Nadia Maïzi,et al.  Model-based predictive motion cueing strategy for vehicle driving simulators , 2009 .

[9]  Frank M. Cardullo,et al.  Motion Cueing Algorithm Development: Initial Investigation and Redesign of the Algorithms , 2000 .

[10]  Andras Kemeny,et al.  Performance Identification and Compensation of Simulator Motion Cueing Delays , 2011, J. Comput. Inf. Sci. Eng..

[11]  Meyer Nahon,et al.  Simulator motion-drive algorithms - A designer's perspective , 1990 .

[12]  Andras Kemeny,et al.  Motion Cueing in the Renault Driving Simulator , 2000 .

[13]  Li-Chen Fu,et al.  An Optimal Washout Filter Design with Fuzzy Compensation for a Motion Platform , 2011 .