Fuzzy/PSO Based Washout Filter for Inertial Stimuli Restitution in Flight Simulation

The aim of this study is to present a new approach using Particle Swarm Optimization (PSO) algorithm and fuzzy logic for motion cueing considering both the physical limits of restitution platforms and realistic sensations. We added the necessary software in order to restitute the specific force based on a virtual aircraft. We used Microsoft Flight Simulator software (MSFS) and built-in data structure and methods. Results using the overall simulation are presented and evaluated on a motion platform. Interesting sensations have been recorded, which enhance the realism of the simulation. The obtained results indicate that the proposed PSO/Fuzzy approach improves the performance of the classical washout filter based motion cueing algorithm. Keywords—Inertial stimuli; flight simulation; washout filter; fuzzy logic; particle swarm optimization.

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

[2]  Li-Chen Fu,et al.  Human Vestibular Based (HVB) Senseless Maneuver Optimal Washout Filter Design for VR-based Motion Simulator , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

[3]  Frank M. Cardullo,et al.  A Nonlinear, Human-Centered Approach to Motion Cueing with a Neurocomputing Solver , 2002 .

[4]  Rob C. J. Ruigrok,et al.  Research flight simulation of future autonomous aircraft operations , 2002, Proceedings of the Winter Simulation Conference.

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

[6]  R. V. Parrish,et al.  Coordinated adaptive filters for motion simulators. , 1973 .

[7]  Radu-Emil Precup,et al.  A survey on industrial applications of fuzzy control , 2011, Comput. Ind..

[8]  L. Fu,et al.  An Optimal Washout Filter Design with Fuzzy Compensation for a Motion Platform , 2011 .

[9]  Moshe Idan,et al.  Off-Line Comparison of Classical and Robust Flight Simulator Motion Control , 1999 .

[10]  Frank M. Cardullo,et al.  Developments in Human Centered Cueing Algorithms for Control of Flight Simulator Motion Systems , 1999 .

[11]  Li Li,et al.  Research on fuzzy control washout algorithm of locomotive driving simulator , 2008, 2008 7th World Congress on Intelligent Control and Automation.

[12]  Junwei Han,et al.  COTS and Design Pattern Based High Fidelity Flight Simulator Prototype System , 2011, J. Comput..

[13]  S.N. Singh,et al.  Fuzzy Adaptive Particle Swarm Optimization for Bidding Strategy in Uniform Price Spot Market , 2007, IEEE Transactions on Power Systems.

[14]  Jacco M. Hoekstra.  The "smart software - simple hardware" concept for maximum flexibility in research flight simulation , 1994 .

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

[16]  Michael Kerger,et al.  MPI Motion Simulator: Development and Analysis of a Novel Motion Simulator , 2007 .

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

[18]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

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

[20]  A. Kemeny,et al.  Evaluating perception in driving simulation experiments , 2003, Trends in Cognitive Sciences.

[21]  D. Stewart,et al.  A Platform with Six Degrees of Freedom , 1965 .

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

[23]  Wei-Hua Chieng,et al.  A Novel Washout Filter Design for a Six Degree-of-Freedom Motion Simulator , 2004 .

[24]  Taher Niknam,et al.  A new fuzzy adaptive hybrid particle swarm optimization algorithm for non-linear, non-smooth and non-convex economic dispatch problem , 2010 .

[25]  William R. Sturgeon.  Controllers for aircraft motion simulators , 1980 .

[26]  Marika Hoedemaeker,et al.  Behavioural adaptation to driving with an adaptive cruise control (ACC) , 1998 .

[27]  Diomidis I. Katzourakis,et al.  Driving simulator parameterization using double-lane change steering metrics as recorded on five modern cars , 2012, Simul. Model. Pract. Theory.

[28]  Florian Holzapfel,et al.  LOW-COST PC BASED FLIGHT SIMULATOR FOR EDUCATION AND RESEARCH , 2002 .