4.1 Article

Control of a Spherical Robot Rolling Over Irregular Surfaces

期刊

JOURNAL OF UNIVERSAL COMPUTER SCIENCE
卷 29, 期 10, 页码 1198-1216

出版社

GRAZ UNIV TECHNOLGOY, INST INFORMATION SYSTEMS COMPUTER MEDIA-IICM
DOI: 10.3897/jucs.89703

关键词

Spherical Robot; Irregular Surfaces; Variable Slope; Stochastic Signals; PID Control; Non-holonomic System

向作者/读者索取更多资源

Pendulum-driven spherical robots are controlled by two motors for longitudinal and lateral motion. This study addresses the issues of navigation and control on inclined irregular surfaces by proposing a methodology that utilizes PID controllers and stochastic signal tuning. The results demonstrate successful motion on inclined irregular surfaces and outperform the Ziegler-Nichols PID controller.
Pendulum-Driven Spherical Robots are a type of spherical robot whose motion is achieved by controlling two motors for longitudinal and lateral motion. This configuration makes the robot a non-holonomic system, which impedes it from navigating directly towards a target. In addition, controlling its motion on inclined irregular surfaces is also an issue that has not received much attention. In this work, we addressed these two issues by proposing a methodology to con-trol both motors using PID controllers. However, we propose tuning the controller's gains using stochastic signals for the longitudinal controller because by varying the motor's torque, the robot is more susceptible to destabilization in combination with a classical gain tuning methodology for the second controller. Our results indicate that this enables the robot to perform motion on inclined irregular surfaces. We also propose using semicircular trajectories to plan the robot's motion to reach a target successfully even when moving on inclined irregular surfaces. We have carried out experiments in the Webots simulator, showing that our approach does not overshoot while reaching a settling time of almost 0. These results outperform the Ziegler-Nichols PID controller.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.1
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据