Based on Kalman Filter Fuzzy PID Control Yuntai

This paper first introduces the algorithm of Kalman wave. Because random disturbance noise is uncertain, unpredictable, and the mean and variance of noise, for this kind of interference, taking maximum a posteriori (MAP) noise estimator is Sage - Husa to estimate the disturbance of the system noise and measurement noise mean and variance, to realize the Kalman filter for uncertain signal suppression. Then the adaptive Kalman filtering algorithm is combined with fuzzy PID control algorithm, and it is proposed based on adaptive Kalman filter model PID control algorithm, which has both fuzzy PID adaptive control system parameters, fast tracking performance, but also it has the adaptive Kalman filtering jamming signal inhibitory effect of uncertainty. At last, through simulation experiment, results show that the fuzzy PID control based on adaptive Kalman filtering algorithm with fast response speed, high precision, good robustness, and can effectively overcome all kinds of jamming noise existing in the system.