Tilting-Rotor Quadcopter for Aggressive Flight Maneuvers Using Differential Flatness Based Flight Controller

Author(s):  
Rumit Kumar ◽  
Alireza Nemati ◽  
Manish Kumar ◽  
Rajnikant Sharma ◽  
Kelly Cohen ◽  
...  

In this paper, we present a feed-forward control approach for complex trajectory tracking by a tilting-rotor quadcopter during autonomous flight. Tilting-rotor quadcopter is a more agile version of conventional quadcopter as the propeller motors are actuated to tilt about the quadcopter arm. The tilt-rotor quad-copter is capable of following complex trajectories with ease. In this paper, we employ differential flatness based feed-forward position control by utilizing a combination of propeller rotational speeds along with rotor tilts. The rotational motion of propellers work simultaneously in sync with propeller tilts to control the position and orientation of the UAV during autonomous flight. The results for tracking complex trajectories have been presented by performing numerical simulations and a comparison is shown with respect to conventional quadcopter for similar flight conditions. It has been found that the tilt-rotor quadcopter is more efficient than the conventional quadcopter during complex trajectory following maneuvers.

2018 ◽  
Vol 30 (3) ◽  
pp. 438-444
Author(s):  
Jomah Alzoubi ◽  
Shadi A Alboon ◽  
Amin Alqudah

In the last decade, the applications of nano- and micro-technology are widely used in many fields. In the modern mobile devices, such as digital cameras, there is an increased demand to achieve fast and precise positioning for some parts such as the recording sensor. Therefore, a smart material (piezoelectric) is used to achieve this requirement. This article discusses the feed-forward control for a piezoelectric actuator using differential flatness approach. The differential flatness approach is used to calculate the required voltage to control the piezoelectric actuator movement. The control voltage will be applied to the real actuator. The simulation and experimental results are compared for the actuator. The aim of this article is to verify the feed-forward control for second eigenfrequency using the differential flatness approach for the piezoelectric actuator.


2014 ◽  
Vol 555 ◽  
pp. 186-191 ◽  
Author(s):  
Mamoru Minami ◽  
Ken Adachi ◽  
Satoshi Sasaki ◽  
Akira Yanou

This research aims to achieve a new grinding robot system that can grind an object into desired shape with force-sensorless feed-forward control. However, there is a problem that vibration occurs during the grinding work has emerged, which makes the accuracy of the grinding become worse. Therefore, this paper proposes a method that changes the gain of position control for suppressing the vibration. Results observed by real grinding experiment have confirmed how our proposed method effectively improved accuracy of the grinding.


2010 ◽  
Vol 18 (1) ◽  
pp. 213-221 ◽  
Author(s):  
Tarek S. Rabbani ◽  
Florent Di Meglio ◽  
Xavier Litrico ◽  
Alexandre M. Bayen

2020 ◽  
Vol 53 (2) ◽  
pp. 1331-1336
Author(s):  
Sven Pfeiffer ◽  
Annika Eichler ◽  
Holger Schlarb

2014 ◽  
Vol 989-994 ◽  
pp. 3386-3389
Author(s):  
Zhu Wen Yan ◽  
Hen An Bu ◽  
Dian Hua Zhang ◽  
Jie Sun

The influence on the shape of the strip from rolling force fluctuations has been analyzed. The combination of intermediate roll bending and work roll bending has been adopted. The principle of rolling force feed-forward control has been analyzed. The feed-forward control model has been established on the basis of neural networks. The model has been successfully applied to a rolling mill and a good effect has been achieved.


2010 ◽  
Vol 32 (10) ◽  
pp. 1678-1685 ◽  
Author(s):  
Jason B. Carmel ◽  
Sangsoo Kim ◽  
Marcel Brus-Ramer ◽  
John H. Martin

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