Parameter Adjustment Method of Kalman Filter Based on Quadratic Curve Fitting

2021 ◽  
Author(s):  
Xinli Xiong ◽  
Kuan Wang ◽  
Jianbin Chen ◽  
Tao Li ◽  
Haoyun Deng ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Curve Fitting ◽  
Parameter Adjustment ◽  
Adjustment Method ◽  
Quadratic Curve

scholarly journals Research on parameter adjustment method of servo controller based on genetic algorithm

2021 ◽  
Vol 1786 (1) ◽  
pp. 012056
Author(s):  
Huan Tian ◽  
Wenyong Dong ◽  
Yafen Xu ◽  
Yuan Gao ◽  
Cheng Fang
Keyword(s):  
Genetic Algorithm ◽  
Parameter Adjustment ◽  
Adjustment Method ◽  
Servo Controller

The Solution of the Dynamics Prediction of Aircraft State

2012 ◽  
Vol 190-191 ◽  
pp. 209-212
Author(s):  
Xiu Ying Zhao ◽  
Ji Cheng Quan ◽  
Jing Yuan Wei ◽  
Yu Liu ◽  
Ke Xiong Chen
Keyword(s):  
Kalman Filter ◽  
Curve Fitting ◽  
Weighted Average ◽  
State Data ◽  
Aircraft Flight ◽  
Fitting Method ◽  
Curve Fitting Method ◽  
Filter Particle ◽  
Status Data ◽  
Aircraft Data

To monitor aircraft flight status, predict the position of aircraft is needed. By the research of the kalman filter, particle filter, and the best curve fitting method, use the last before time or several before moments‘s flight state data to predict the state of the aircraft, even forward time’s state, the dynamically weighted average of the multi-times data can get to the aircraft status data and subsequent flight status data, so the aircraft fly normally and smoothly with the predicted status data, that can get a good visual effect. The algorithm experiment is through the extraction data from the real aircraft data, the average relative error is 0.03%.

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