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Type-1 Fuzzy Pulse Width Modulation Controlled Motion Planning of Differential Drive 4-Wheeled Power Robot

机译:型号-1型模糊脉冲宽度调制控制运动4轮电力机器人的运动规划

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In this article, we have designed and implemented a Type-1 Fuzzy Pulse Width Modulation (TFPWM) controller, which can autonomously control the motion, direction, and orientation of the differential drive 4-wheeled power robot in any working environment. This proposed TFPWM controller has three inputs (obstacle distances) and four outputs (motor PWM controlled velocities). The controller collects input data from the group of sensors (ultrasonic and infrared) and generates pulse width modulation (PWM) based velocity control command to all four motors of 4-wheeled power robot using if-then fuzzy rule-based model. This TFPWM controller helped the robot to avoid obstacles autonomously during navigation. Computer simulation results have done through the graphical user interface (GUI) platform of MATLAB software. Successful navigation results of differential drive 4-wheeled power robot in computer simulations verify the effectiveness and efficiency of the proposed controller. We have compared this TFPWM controller based simulation results with existing techniques and found better results in terms of simulation path length.
机译:在本文中,我们设计并实施了1型模糊脉冲宽度调制(TFPWM)控制器,可以自主地控制差动驱动器4轮电力机器人在任何工作环境中的运动,方向和方向。该提出的TFPWM控制器具有三个输入(障碍物距离)和四个输出(电机PWM受控速度)。控制器从传感器组(超声波和红外线)收集输入数据,并使用IF-Then-Then-Then Fuzzy规则的模型为4轮电力机器人的所有四个电动机产生脉冲宽度调制(PWM)的速度控制命令。此TFPWM控制器帮助机器人在导航期间避免自动障碍。计算机仿真结果通过了MATLAB软件的图形用户界面(GUI)平台完成。计算机模拟中差动驱动器4轮电力机器人的成功导航结果验证了所提出的控制器的有效性和效率。我们将基于TFPWM控制器的仿真结果与现有技术进行了比较,并在模拟路径长度方面找到了更好的结果。

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