Based on Kalman Filter Fuzzy PID Control Yuntai

DOI

10.2991/emcs-16.2016.469How to use a DOI?

Keywords

Kalman; Sage-Husa; PID control algorithm; Simulation

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Youqiang Lai
AU  - Jingfeng He
AU  - Xiaoping Yang
AU  - Min Ji
PY  - 2016/01
DA  - 2016/01
TI  - Based on Kalman Filter Fuzzy PID Control Yuntai
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 1866
EP  - 1869
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.469
DO  - 10.2991/emcs-16.2016.469
ID  - Lai2016/01
ER  -