ZHENG Jingxiang, CAO Bo, BI Shusheng, et al. Visual target tracking based on dynamic fuzzy-model control[J]. 2019, 51(1): 178-183.DOI: 10.11918/j.issn.0367-6234.201803093.
得到的角度误差收敛时间也小于0.5 s. 基于动态T-S模糊控制的移动机器人视觉跟随系统对角度误差能够快速响应并达到收敛
进而有效防止跟随目标的丢失.
Abstract
The problem
that the angle control of the mobile robot's visual target following system based on the traditional linear control law cannot satisfy the need of high efficiency and fastness so that the target is easy missed
is focused in this paper. A visual following method based on dynamic T-S fuzzy control is proposed. The HOG algorithm is used to detect the target and the target position vector is obtained by the camera model. Based on the T-S fuzzy control
dynamic processing is performed to further improve the response speed of angular error convergence. The simulation by MATLAB shows that the convergence time of the angle error is less than 0.4 second. Therefore
the improved fuzzy control method can effectively improve the response speed of the angle error
shorten the time of the angle error convergence
and make the follow-up system have better rapidity and adaptability. By experiment on the mobile robot platform
the convergence time of the angle error is less than 0.5 second.