Abstract:In agricultural field, wheeled mobile robot navigated by machine vision is researched widely at present. An optimal lateral control algorithm is presented in this paper, but whose performance can be deteriorated by long delay feedback produced by machine vision recognizing the characteristics of complicated field environment. So based on its kinematical model, behavior of wheeled mobile robot is predicted so as to modify feedback information sampled by machine vision. In the simulation, it is showed that this algorithm can carry out the lateral control of agricultural wheeled mobile robot precisely and reliably, and can adapt different longitudinal velocity excellently.
[1] S I Cho, N H Ki. Automous Speed Sprayer Guidance using Machine Vision and Fuzzy Logic. ASAE, 1999,42(4):1137-1143 [2] 14 N D Tillett, T Hague, J A Marchant. A Robotic System for Plant-Scale Husbandry. J Agric Eng Res, 1998,69:169-178 [3] 王荣本等. 基于机器视觉的玉米施肥智能机器系统设计概述. 农业工程学报, 2001,17(2):151-153 [4] Torii T, Kitade S and Teshima T. Crop Row Tracking by an Autonomous Vehicle Using Machine Vision. JSAM, 2000,62(2):41-48 [5] 欧阳黎明. MATLAB控制系统设计. 北京:国防工业出版社. 2001