A Novel Fuzzy Voting Design based on Adaptive Extended Kalman Filter
Yang Li · International Journal of Advancements in Computing Technology · 2011
In the fault-tolerant system, there is one bottleneck problem to need to solve, the voting design when there are many fault-tolerant gyroscopes floating point input signals. A novel fuzzy voting design has been proposed based on adaptive extended Kalman filter. Through connecting EKF in the fuzzy voting mechanism, the adaptive fuzzy voting design has solved that the smaller deviated signals are unable to judge. Moreover, we have achieved the real-time adjustment of the Q covariance and R covariance matrix by designing another logical controller with extended Kalman filter and the fuzzy logic method. We can obtain the real time spaceborne apparatus’s posture by simulating gyroscope, the fuzzy voting design can get the correct output, it has solved the measured noise and the gyro error.