Flight simulator washout algorithm based on improved fuzzy control

SUN Xue-peng, LU Ying, YAN Si-qi

                                  (Aviation University of Air Force Military Simulation Technology Research Institute, Changchun 130022, China)

Abstract: Aiming at the problems that parameters of washout filter parameters fixed, basically rely on the experience and the perception of pilot site operation debugging,and in order to improve the dynamic simulation of flight simulator fidelity, fuzzy control algorithm was applied to the design of the algorithm, the parameter optimization method of the classical washout algorithm in real time was researched. A method was presented to a washout algorithm of improved fuzzy control, which was based on fuzzy human perception mechanism using the improved control parameters on washout filter, making the motion perception of the simulator during the operation of the flight simulator is the smallest of the motion perception, and improved genetic algorithm was used to improve the utilization rate of the motion platform in the process of the parameters clearing. In the Matlab simulation experiment was carried out to wash out the optimized algorithm. The results indicate that the optimized algorithm can effectively improve the washout simulation of flight simulator fidelity, speed up the platform return speed and can make full use of the space platform, achieve the desired results.
Key words: fuzzy control; washout; 6DOF; genetic algorithm