Human Perception-Based Washout Filtering Using Genetic Algorithm

The Motion Cueing Algorithm MCA transforms longitudinal and rotational motions into simulator movement, aiming to regenerate high fidelity motion within the simulators physical limitations. Classical washout filters are widely used in commercial simulators because of their relative simplicity and reasonable performance. The main drawback of classical washout filters is the inappropriate empirical parameter tuning method that is based on trial-and-error, and is effected by programmers' experience. This is the most important obstacle to exploiting the platform efficiently. Consequently, the conservative motion produces false cue motions. Lack of consideration for human perception error is another deficiency of classical washout filters and also there is difficulty in understanding the effect of classical washout filter parameters on generated motion cues. The aim of this study is to present an effortless optimization method for adjusting the classical MCA parameters, based on the Genetic Algorithm GA for a vehicle simulator in order to minimize human sensation error between the real and simulator driver while exploiting the platform within its physical limitations. The vestibular sensation error between the real and simulator driver as well as motion limitations have been taken into account during optimization. The proposed optimized MCA based on GA is implemented in MATLAB/Simulink. The results show the superiority of the proposed MCA as it improved the human sensation, maximized reference signal shape following and exploited the platform more efficiently within the motion constraints.

[1]  Jae-Bok Song,et al.  Washout algorithm with fuzzy-based tuning for a motion simulator , 2003 .

[2]  Greg L Zacharias.  Motion Cue Models for Pilot-Vehicle Analysis , 1978 .

[3]  Xin-She Yang,et al.  Chapter 5 – Genetic Algorithms , 2014 .

[4]  Abderrahmane Kheddar,et al.  Design and Control of a Small-Clearance Driving Simulator , 2008, IEEE Transactions on Vehicular Technology.

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

[6]  Saeid Nahavandi,et al.  Adaptive Translational Cueing Motion Algorithm Using Fuzzy Based Tilt Coordination , 2014, ICONIP.

[7]  Saeid Nahavandi,et al.  Driver Behaviour Prediction for Motion Simulators Using Changepoint Segmentation , 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

[8]  A. Amouri,et al.  Classic and Adaptive Washout Comparison for a Low Cost Driving Simulator , 2005, Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation Intelligent Control, 2005..

[9]  S. F. Schmidt,et al.  A Study of Techniques for Calculating Motion Drive Signals for Flight Simulators , 1971 .

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

[11]  S. F. Schmidt,et al.  Washout circuit design for multi-degrees-of-freedom moving base simulators. , 1973 .

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

[13]  H. Mohellebi,et al.  Restitution movement for a low cost driving simulator , 2006, 2006 American Control Conference.

[14]  R. L. Bowles,et al.  Coordinated adaptive washout for motion simulators , 1973 .

[15]  Louis Gosselin,et al.  Review of utilization of genetic algorithms in heat transfer problems , 2009 .

[16]  Adésio Ferreira,et al.  Estimating the effects of population size and type on the accuracy of genetic maps , 2006 .

[17]  Saeid Nahavandi,et al.  Optimisation of nonlinear motion cueing algorithm based on genetic algorithm , 2015 .

[18]  Ashok N. Srivastava,et al.  Data Mining: Concepts, Models, Methods, and Algorithms , 2005, J. Comput. Inf. Sci. Eng..

[19]  Saeid Nahavandi,et al.  Incorporating Human Perception With the Motion Washout Filter Using Fuzzy Logic Control , 2015, IEEE/ASME Transactions on Mechatronics.

[20]  L. D. Reid,et al.  Flight simulation motion-base drive algorithms: part 1. Developing and testing equations , 1985 .

[21]  Lloyd D. Reid,et al.  Motion Washout Filter Tuning: Rules and Requirements , 1997 .

[22]  Saeid Nahavandi,et al.  Adaptive Washout Algorithm Based Fuzzy Tuning for Improving Human Perception , 2014, ICONIP.