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Controlling the velocity and azimuth of a mobile robot using fuzzy logic.

机译:使用模糊逻辑控制移动机器人的速度和方位角。

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摘要

An effort was made to investigate and control the velocity and azimuth of a robot (a) using a fuzzy logic controller along with a PID controller, and (b) the fuzzy logic controller alone, and comparing the results. One of the primary reasons for examining the results of the two controllers was to find out the better method to control the motion of robots. A physical, and corresponding theoretical, model for the motion of a two-wheel mobile robot was considered. The computer implementation was based on Matlab/Simulink, with the equations of motion for the mobile robot being used to build a simulink representation of the system. The response of the mobile robot with a PID controller along with a fuzzy logic controller was studied first, and then a fuzzy logic controller was used alone in the desired robotic system. The system was studied for different desired motions, and it was found that the fuzzy logic controller with the PID controller works better than the fuzzy logic controller alone, for most of the investigated conditions. Firstly, a sinusoidal input, and later, a ramp input was given to the system, and in both cases, a considerable improvement was found in the output response when a fuzzy logic controller along with a PID controller was used in the system.
机译:努力研究和控制机器人的速度和方位角(a)使用模糊逻辑控制器和PID控制器,以及(b)单独使用模糊逻辑控制器,并比较结果。检查两个控制器的结果的主要原因之一是找到一种更好的方法来控制机器人的运动。考虑了两轮移动机器人运动的物理模型和相应的理论模型。计算机实现基于Matlab / Simulink,移动机器人的运动方程式用于构建系统的Simulink表示。首先研究了带有PID控制器和模糊逻辑控制器的移动机器人的响应,然后在所需的机器人系统中单独使用模糊逻辑控制器。针对不同的期望运动对系统进行了研究,发现在大多数研究条件下,带有PID控制器的模糊逻辑控制器比单独的模糊逻辑控制器效果更好。首先是正弦输入,然后是系统的斜坡输入,在这两种情况下,当在系统中使用模糊逻辑控制器和PID控制器时,输出响应都得到了很大的改善。

著录项

  • 作者

    Gupta, Deepak.;

  • 作者单位

    Texas A&M University - Kingsville.;

  • 授予单位 Texas A&M University - Kingsville.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.S.
  • 年度 2005
  • 页码 48 p.
  • 总页数 48
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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