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Automatic tractor guidance on sloped terrain (part 1) - formulation of NN vehicle model and design of control law for contour line travel

机译:倾斜地形(第1部分)的自动拖拉机指导 - NN车辆模型的配方与轮廓线路控制法的设计

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摘要

An automatic tractor guidance system for contour line travel on sloped terrain has been developed. To actualize this system, four procedures were done. First, a neural network (NN) vehicle model was proposed to obtain relations between the steerage and behavior of tractors on sloped terrain. Second, a navigation planner for contour run is constructed by the use of NN based vehicle model. Third, an optimal control theory is applied to the design of a steering controller. As two variables lateral displacement and heading angle are important for contour line tracking control, a quadratic-form cost function of the two are minimized by genetic algorithm. Finally, the fourth procedure involves using an installed steering mechanism, sensors and a Total Station, in carrying out autopilot tractor tests on contour line travel. The overall performance of the developed navigation system for the contour line tracking tractor-like robot was successful. Paper 2 will discuss a navigation planner for a rectangular path on sloped terrain
机译:开发了一种自动拖拉机引导系统,用于倾斜地形上的轮廓线行程。为了实现这个系统,完成了四个程序。首先,提出了一种神经网络(NN)车辆模型,以获得倾斜地形上拖拉机的轨迹与行为之间的关系。其次,通过使用基于NN的车辆模型来构建用于轮廓运行的导航计划。第三,应用于转向控制器的设计。由于两个变量横向位移和标题角对于轮廓线跟踪控制很重要,因此通过遗传算法最小化两者的二次形式成本函数。最后,第四个程序涉及使用安装的转向机构,传感器和全站仪,在进行轮廓线行程上的自动驾驶拖拉机测试。用于轮廓线跟踪拖拉机样机型机器人的开发导航系统的整体性能成功。纸张2将讨论倾斜地形上的矩形路径的导航计划

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