Rofid Komarul Ikbar, E. Mulyana, Rina Mardiati, Rin Rin Nurmalasari
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引用次数: 0
摘要
消防机器人的发展需要高精度的火灾探测器,而探测器的精度受传感器输入信号的影响。它被植入了机器人体内。消防机器人要求机器人在火灾探测过程中使用的控制方法。在本研究中,火焰探测器KY -026超声波被安装在机器人的前端,并使用Arduino MEGA 2560作为微控制器。为了使机器人在探测火灾时运动更加稳定,采用模糊逻辑控制风扇和直流电机PWM。在机器人检测蜡烛上的火焰的条件下,超声波传感器的距离为20 cm,火焰探测器的ADC值为300,对机器人进行模糊逻辑测试。将基于模糊逻辑的消防机器人的输出与人工计算、仿真计算和机器人系统计算的输出进行了比较。结果表明,模糊逻辑已成功地应用于消防机器人。
Fire Fighting Robot Using Flame Detector and Ultrasonic Based on Fuzzy Logic Control
The development of a fire fighting robot requires a fire detector with high accuracy, which is influenced by the input signal received from the sensor. It was embedded in the robot. The fire fighting robot requires a control method used by the robot in the fire detection process. In this study, the flame detector KY -026 ultrasonic was installed on the front of the robot and used Arduino MEGA 2560 as the microcontroller. In order to make the robot movement more stable when detecting fire, a Fuzzy Logic controls the fan and DC motor PWM. Testing Fuzzy Logic on the robot is carried out with the condition that the robot detects fire on a candle with a distance of 20 cm for the ultrasonic sensor and the ADC value of 300 for the flame detector. It compared the output of the fire fighting robot based on Fuzzy Logic with the output from manual calculations, simulation calculations, and robot system calculations. It is obtained that Fuzzy Logic has been successfully implemented on firefighting robots.