Fuzzy control algorithm for educational light tracking system

Samir A. Abdul Kareem, R. Muhida, Rini Akmeliawati
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引用次数: 4

Abstract

A novel two degree of freedom (DOF) intelligent light tracking system using fuzzy logic control is presented in this paper. The fuzzy control algorithm for light tracking system is implemented using a webcamera as a vision sensor, two PC sound cards as output signal controller, and two DC motors as a pan-tilt driver mechanism. Two Fuzzy logic controllers are designed to control the camera panel angles of the proposed light tracking system. The fuzzy controller input parameters (light source pixel coordinate) and output parameters (variation of duty cycle) are used to generate the optimal pulse-width-modulated (PWM) under different operating conditions to drive the motors. The motors will react accordingly when they receive signal from the sound card to make sure the camera always focuses on the centroid of the light source. The major issues addressed in this paper are reducing the number of pulses that are sending through sound cards to move the motors, this will significantly reduce the power consumption required to drive the camera panel to the desired location. Also using a webcamera and a sound card reduces the circuitry required when compared with conventional light tracking systems, hence, saving components such as xPC target, Encoder, Tachometer, ADC or DCA and others. The system tested at different locations. The data which were obtained by experiment were able to show a validity of the proposed controller.
教育光跟踪系统的模糊控制算法
提出了一种基于模糊逻辑控制的二自由度智能光跟踪系统。采用网络摄像机作为视觉传感器,两台PC声卡作为输出信号控制器,两台直流电机作为平移驱动机构,实现了光跟踪系统的模糊控制算法。设计了两个模糊逻辑控制器来控制所提出的光跟踪系统的相机面板角度。利用模糊控制器的输入参数(光源像素坐标)和输出参数(占空比变化)产生不同工况下的最优脉宽调制(PWM)来驱动电机。当从声卡接收到信号时,马达会做出相应的反应,以确保相机始终聚焦在光源的质心上。本文解决的主要问题是减少通过声卡发送的用于移动电机的脉冲数量,这将显著降低驱动相机面板到所需位置所需的功耗。此外,与传统的光跟踪系统相比,使用网络摄像头和声卡减少了所需的电路,因此节省了xPC目标、编码器、转速计、ADC或DCA等组件。该系统在不同地点进行了测试。实验数据表明了所提控制器的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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