Electronics design for a high precision image stabilization system

2014 ◽  
Author(s):  
A. Casas ◽  
D. Roma ◽  
M. Carmona ◽  
J. M. Gómez ◽  
J. Bosch ◽  
...  
2021 ◽  
Vol 22 (7) ◽  
pp. 365-373
Author(s):  
Quang Thong Do

The proportional guidance method-based missile homing systems (MHS) have been widely used the real-world environments. In these systems, in order to destroy the targets at different altitudes, a normal acceleration stabilization system (NASS) is often utilized. Therefore, the MHS are complex and the synthesis of these systems are a complex task. However, it is necessary to synthesize NASS during the synthesis of the MHS. To simplify the synthesis process, a linear model of the NASS is used. In addition, we make use of the available commands in Control System Toolbox in MATLAB. Because the Toolbox has the commands to describe the transfer function, determine the stability gain margin, and the values of the transient respond of the linear automatic systems. Thus, this article presents two methods for synthesizing the missile homing systems, including (i) a method for synthesizing the MHS while ensuring the permissible stability gain margin of the NASS, and (ii) a method for synthesizing the MHS while ensuring the permissible stability margin of the NASS by overshoot. These techniques are very easy to implement using MATLAB commands. The synthesis of the proposed MHS is carried out by the parametric optimization method. To validate the performance of the proposed techniques, we compare them withthe MHS synthesized by ensuring the stability margin of the NASS bythe oscillation index. The results show that, two our proposed methods and the existing method provide the same results in terms of high-precision. Nevertheless, the proposed methods are simple and faster than the conventional method. The article also investigates the effect of gravity, longitudinal acceleration of the rocket, andblinding of the homing head on the accuracy of the synthesized MHS. The results illustrate that they have a little effect on its accuracy.


2013 ◽  
Vol 6 (3) ◽  
pp. 378-385
Author(s):  
吴威 WU Wei ◽  
许廷发 XU Ting-fa ◽  
王亚伟 WANG Ya-wei ◽  
闫辉 YAN Hui ◽  
徐磊 XU Lei

2011 ◽  
Vol 268-270 ◽  
pp. 1768-1772 ◽  
Author(s):  
Yang Ke Liu ◽  
Chun Zhao Lv ◽  
Chang Li

In the digital image stabilization system, Kalman filter is the most commonly used filter for motion correction. When the wanted movements have large assumptions deviation with the movement model, the result of motion correction will cause divergence and even error. For this problem, a novel motion correction method with adaptive Karlman filter is proposed. The back and forth characteristic of the unwanted motion and the smoothness characteristic of the wanted motion is used to adjust the system noise and the observation error adaptively. Experiment results show that the proposed method can effectively distinguish the wanted and the unwanted movement. Compared with the method with fixed parameters, the proposed method takes into account the smoothness and delay of wanted motion at the same time and it is more adaptively.


2018 ◽  
Vol 57 (31) ◽  
pp. 9307 ◽  
Author(s):  
Zhichao Dong ◽  
Aimin Jiang ◽  
Yanfeng Dai ◽  
Jianwei Xue

2016 ◽  
Author(s):  
Albert Casas ◽  
José María Gómez ◽  
David Roma ◽  
Manuel Carmona ◽  
Manel López ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document