Out-of-Order Sigma-Point Kalman Filtering for Target Localization Using Cooperating Unmanned Aerial Vehicles

2007 ◽  
pp. 21-43 ◽  
Author(s):  
Gregory L. Plett ◽  
Dimitri Zarzhitsky ◽  
Daniel J. Pack
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Kalman Filtering ◽  
Target Localization ◽  
Sigma Point ◽  
Aerial Vehicles

scholarly journals Real-Time Multi-Target Localization from Unmanned Aerial Vehicles

Sensors ◽  
2016 ◽  
Vol 17 (12) ◽  
pp. 33 ◽  
Author(s):  
Xuan Wang ◽  
Jinghong Liu ◽  
Qianfei Zhou
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Real Time ◽  
Target Localization ◽  
Aerial Vehicles

scholarly journals Flight control law of unmanned aerial vehicles based on robust servo linear quadratic regulator and Kalman filtering

2017 ◽  
Vol 14 (1) ◽  
pp. 172988141668695 ◽  
Author(s):  
Yongfeng Zhi ◽  
Gaoshang Li ◽  
Qun Song ◽  
Ke Yu ◽  
Jun Zhang
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Kalman Filtering ◽  
Flight Control ◽  
Pitch Angle ◽  
Linear Quadratic Regulator ◽  
Control Law ◽  
Linear Quadratic ◽  
Aerial Vehicles ◽  
Simulation Results ◽  
Influence Of Noise

A new flight control law for unmanned aerial vehicles based on robust servo linear quadratic regulator control and Kalman filtering is proposed. This flight control law has a simple structure with high dependability in engineering. The pitch angle controller, which is designed based on the robust servo linear quadratic regulator control, is given to show the flight control law. Simulation results show that the pitch angle controller works well under noise-free conditions. Finally, Kalman filtering is applied to the pitch angle controller under noisy conditions, and the simulation results show that the proposed method reduces the influence of noise.

Propeller speed estimation for unmanned aerial vehicles using Kalman filtering

2020 ◽  
Vol 14 (3) ◽  
pp. 284
Author(s):  
Matija Krznar ◽  
Denis Kotarski ◽  
Danijel Pavkovic ◽  
Petar Piljek
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Kalman Filtering ◽  
Speed Estimation ◽  
Aerial Vehicles
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