pointing control
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Author(s):  
Andrew Kruger ◽  
Robert Maksimowicz ◽  
Mehrunisa Zaheer ◽  
Alfredo Almaraz-Vega ◽  
Jesus Urquiza

Experiments flown on high-altitude balloons are typically free to spin without any control or information collected on the payload orientation during flight, limiting the scope of experiments that can be performed. Projects that include targeting (i.e. imaging the 2017 solar eclipse) have at best a random chance of succeeding, while video footage is often hard to watch due to high payload rotation rates. While passive stabilization reduces the rotation rate, active pointing control is necessary for continuous target acquisition. Here we discuss a project built by students at Wright College called the Controlled Heading Automation Device (CHAD) that actively controls the heading of other instruments (i.e. cameras) and has been proven to work in flight. This project is open-source, 3D printable, made from cheap DIY electronics, and has been made available online (http://physi.cz/chad) so the high-altitude ballooning community can create, use, and adapt it to their own projects. We show how to create an attitude and heading reference system (AHRS) that can be used to continuously record payload orientation, which can supplement experiments where pointing information is needed. We then show how to have CHAD use the AHRS to automatically control the heading of other instruments in real-time without any other inputs.


2021 ◽  
Author(s):  
Dmitriy Zhurov ◽  
I. Astapov ◽  
P. Bezyazeekov ◽  
M. Blank ◽  
E. A. Bonvech ◽  
...  

2021 ◽  
pp. 112914
Author(s):  
Qianwen Duan ◽  
Xi Zhou ◽  
Qiunong He ◽  
Xinglong Chen ◽  
Wansheng Liu ◽  
...  

2021 ◽  
pp. 112923
Author(s):  
Qianwen Duan ◽  
Xi Zhou ◽  
Qiunong He ◽  
Xinglong Chen ◽  
Wansheng Liu ◽  
...  

Actuators ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 105
Author(s):  
Thinh Huynh ◽  
Minh-Thien Tran ◽  
Dong-Hun Lee ◽  
Soumayya Chakir ◽  
Young-Bok Kim

This paper proposes a new method to control the pose of a camera mounted on a two-axis gimbal system for visual servoing applications. In these applications, the camera should be stable while its line-of-sight points at a target located within the camera’s field of view. One of the most challenging aspects of these systems is the coupling in the gimbal kinematics as well as the imaging geometry. Such factors must be considered in the control system design process to achieve better control performances. The novelty of this study is that the couplings in both mechanism’s kinematics and imaging geometry are decoupled simultaneously by a new technique, so popular control methods can be easily implemented, and good tracking performances are obtained. The proposed control configuration includes a calculation of the gimbal’s desired motion taking into account the coupling influence, and a control law derived by the backstepping procedure. Simulation and experimental studies were conducted, and their results validate the efficiency of the proposed control system. Moreover, comparison studies are conducted between the proposed control scheme, the image-based pointing control, and the decoupled control. This proves the superiority of the proposed approach that requires fewer measurements and results in smoother transient responses.


Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1946
Author(s):  
Hui Chang ◽  
Wen-Qi Ge ◽  
Hao-Cheng Wang ◽  
Hong Yuan ◽  
Zhong-Wei Fan

In laser systems, beam pointing usually drifts as a consequence of various disturbances, e.g., inherent drift, airflow, transmission medium variation, mechanical vibration, and elastic deformation. In this paper, we develop a laser beam pointing control system with Fast Steering Mirrors (FSMs) and Position Sensitive Devices (PSDs), which is capable of stabilizing both the position and angle of a laser beam. Specifically, using the ABCD matrix, we analyze the kinematic model governing the relationship between the rotation angles of two FSMs and the four degree-of-freedom (DOF) beam vector. Then, we design a Jacobian matrix feedback controller, which can be conveniently calibrated. Since disturbances vary significantly in terms of inconsistent physical characteristics and temporal patterns, great challenges are imposed to control strategies. In order to improve beam pointing control performance under a variety of disturbances, we propose a data-driven disturbance classification method by using a Recurrent Neural Network (RNN). The trained RNN model can classify the disturbance type in real time, and the corresponding type can be subsequently used to select suitable control parameters. This approach can realize the universality of the beam stabilization pointing system under various disturbances. Experiments on beam pointing control under several typical external disturbances are carried out to verify the effectiveness of the proposed control system.


Author(s):  
Lin LI ◽  
Li YUAN ◽  
Li WANG ◽  
Ran ZHENG ◽  
Yanpeng WU ◽  
...  

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 23385-23397
Author(s):  
Shusen Yuan ◽  
Wenxiang Deng ◽  
Yaowen Ge ◽  
Jianyong Yao ◽  
Guolai Yang

2021 ◽  
pp. 1-16
Author(s):  
Qinqin Sun ◽  
Xiuye Wang ◽  
Guolai Yang ◽  
Ye-Hwa Chen ◽  
Peng Duan

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