Motor speed reconstruction in a compact EMA for primary flight controls via sensor-fusion technique

2021 ◽  
Author(s):  
Gianpietro Di Rito ◽  
Benedetto Luciano ◽  
Nicola Borgarelli ◽  
Marco Nardeschi
Keyword(s):  
Sensor Fusion ◽  
Motor Speed ◽  
Fusion Technique ◽  
Flight Controls

Low Cost Sensor Data Fusion in Omnidirectional Mobile Robot Feedback System to Improve the Navigation Accuracy

2014 ◽  
Vol 607 ◽  
pp. 791-794 ◽  
Author(s):  
Wei Kang Tey ◽  
Che Fai Yeong ◽  
Yip Loon Seow ◽  
Eileen Lee Ming Su ◽  
Swee Ho Tang
Keyword(s):  
Mobile Robot ◽  
Sensor Fusion ◽  
Low Cost ◽  
Feedback System ◽  
Sensor Data ◽  
Research Setting ◽  
Fusion Technique ◽  
Omnidirectional Mobile Robot ◽  
The Cost ◽  
Navigation Accuracy

Omnidirectional mobile robot has gained popularity among researchers. However, omnidirectional mobile robot is rarely been applied in industry field especially in the factory which is relatively more dynamic than normal research setting condition. Hence, it is very important to have a stable yet reliable feedback system to allow a more efficient and better performance controller on the robot. In order to ensure the reliability of the robot, many of the researchers use high cost solution in the feedback of the robot. For example, there are researchers use global camera as feedback. This solution has increases the cost of the robot setup fee to a relatively high amount. The setup system is also hard to modify and lack of flexibility. In this paper, a novel sensor fusion technique is proposed and the result is discussed.

Dynamic Estimation of Water Hyacinth Area by Fusing Data from Satellite and GPS Sensors

2014 ◽  
Vol 511-512 ◽  
pp. 134-137
Author(s):  
Ling Sun ◽  
Ze Sheng Zhu
Keyword(s):  
Sensor Fusion ◽  
Growth Model ◽  
Water Hyacinth ◽  
Goodness Of Fit ◽  
Model Development ◽  
Sensor Data ◽  
Complete Control ◽  
Fusion Technique ◽  
Area Growth ◽  
Dynamic Estimation

The interaction of water hyacinth area with growth is known to be strongly influenced by area size, but little is known about the interdependent role that size and time have on dynamic estimation of water hyacinth area. We report on the fusion of specially designed, satellite and GPS sensor data into area growth model as a function of area and time. We employ a multi-sensor fusion technique that is able to generate uniform data of fitting area growth model with complete control of area and time. Evidence of an overall Goodness of Fit Index of 0.9753 was obtained by using conventional statistic analysis. These findings suggest that the multi-sensor fusion technique readily supports area growth model development with highly resolution. Moreover, it was found that area growth model enjoy an appreciable advantage when it comes to harvesting water hyacinth.

WonderBorg and BN-1

2002 ◽  
Vol 14 (1) ◽  
pp. 68-72 ◽  
Author(s):  
Yoshinori Haga ◽  
Keyword(s):  
Sensor Fusion ◽  
Programming Model ◽  
Autonomous Robot ◽  
Fusion Technique ◽  
Actual Application

This paper introduce first mechanism and sensors of WonderBorg, a insect type robot we develop, and explain effective programming model specific to an autonomous robot. Next, We discuss a pet type robot BN-1, a progress type of insect type robot, on its mechanism and sensors, on actual application of logical sensors employing sensor fusion technique, in particular. We discuss also communication between man and a robot necessary for a pet robot. Finally we discuss future of pet robot.

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