Adaptive robust control of moving-target tracking for marching tank based on constraint following

Author(s):  
Yuze Ma ◽  
Guolai Yang ◽  
Qinqin Sun ◽  
Xiuye Wang ◽  
Quanzhao Sun

This paper is devoted to the constraint-following scheme for the moving-target tracking control problem of tank on move. The mission of tank on the battlefield is to find and shoot the armored vehicle, both conditions are required to accomplish this task: complete the process from finding a moving target (time-varying constraints) to pointing to it; keep the barrel stable under highly nonlinear disturbance (which is caused by the battlefield environment). Considering modeling uncertainty and initial condition deviation, an adaptive robust strategy based on Udwadia-Kalaba scheme is presented to solve the matters of target tracking and stable following. Considering the limitation of the analytical model, a tracking system model and a target movement model are built in virtual prototyping environment, complicated road condition, and real target motion state are restored by this method. The model-based control system and the three-dimensional model are combined to verify the feasibility of the control algorithm by the method of RecurDyn/Matlab. By this way, the barrel responds and follows the movement of the target stably within [Formula: see text] s under the action of the stabilization system, and the constraints are approximately satisfied under complex perturbations.

2021 ◽  
pp. 2945-2958
Author(s):  
Jianchuan Guo ◽  
Zhuo Chen ◽  
Junyao Wang ◽  
Peng Zou

2013 ◽  
Vol 705 ◽  
pp. 561-564 ◽  
Author(s):  
Yong Jun Peng ◽  
Fen Tan ◽  
Jun Sun

This article topics based on multi-feature fusion the Mean shift target tracking technology belongs to the field of intelligent video analysis, moving target tracking is interested in moving target location each image in a video sequence to find and acquire the target movement. Moving target tracking problem can be stated as interested in moving target movement prediction in the video sequence, feature extraction, feature matching and template update problem. In this paper, we consider using compressed domain features as a complement of the color features to extract the compressed domain features first need to understand the compressed domain detection technology. Detection based on the compressed domain, that is, in the case of not decoding or a small amount of decoding, directly on the compression characteristics of the image analysis, in order to achieve the detection of the image moving object.


2014 ◽  
Vol 1070-1072 ◽  
pp. 2062-2065
Author(s):  
Yu Bing Dong ◽  
Ying Sun ◽  
Ming Jing Li

An improved tracking method based on trajectory prediction is proposed and studied. The moving target tracking system is given and described. In order to fast and efficient tracking, a mathematical model of trajectory prediction of moving target is established. A large of experiments are carried by MALTAB. The results show that the improved method is better, improves the tracking speed and tracking precision.


2014 ◽  
Vol 889-890 ◽  
pp. 1251-1254
Author(s):  
Xiu Li Zhu ◽  
Wan Hua Qiu

As technology advanced, moving target tracking system is used more and more widely. But the traditional tracking systems are much restricted of imaging and tracking devices. This paper developed system based moving target tracking which could have a broader scope of application. The system does not have to be limited to tracking devices, but the application of the model matching technique and IMAQ Vision modules of Labview environment to form the framework of the virtual instrument system, and finally through the experiment to verify the practicality of the system.


Sign in / Sign up

Export Citation Format

Share Document