Adaptive motion washout filter design by using self-tuning fuzzy control

The purpose of this research is to improve the motion-cueing fidelity of the simulator by using fuzzy-tuning technique to tune the parameters of washout filter in real-time. In order to enhance the motion-cueing fidelity within the limited working space on simulator, the limited working space and the frequency of input dynamic signal must be taken into account for the parameter adjustment of washout filter. The main frequency of input dynamic signal has been abstracted by using Discrete Fast Fourier Transform (DFFT) technique to tune the parameter of the adaptive washout filter. The experimental result demonstrates the error of motion cueing is not perceptible. In the mean time, we have employed a single CCD camera to measure the attitude of the Stewart platform in real time for feedback control. The measured attitude of the moving platform is almost exactly as same as the input driven signal.