433Mhz based Robot using PID (Proportional Integral Derivative) for Precise Facing Direction

Mokhamad Amin Hariyadi, Juniardi Nur Fadila, Hafizzudin Sifaulloh
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Abstract

This research endeavor aims to evaluate the effectiveness of the robot's direction control system by employing PID (Proportional Integral Derivative) output and utilizing wireless communication LoRa E32 433MHz. The experimental robot used in this study was a tank model robot equipped with 4 channels of control. LoRa was implemented in the robot control system, in conjunction with an Android control application, through serial data communication. The LoRa E32 module system was selected based on its established reliability in long-range communication applications. However, encountered challenges included the sluggishness of data transmission when using LoRa for transferring control data and the decreased performance of the robot under Non-Line of Sight conditions. To overcome these challenges, the PID method was employed to generate control data for the robot, thereby minimizing the error associated with controlling its movements. The PID system utilized feedback from a compass sensor (HMC5883L) to evaluate the setpoint data transmitted by the user, employing Kp, Ki, and Kd in calculations to enable smooth movements toward the setpoint. The findings of this study regarding the direct control of the robot using wireless LoRa E32 communication demonstrated an error range of 0.6% to 13.34%. A trial-and-error approach for control variables determined the optimal values for Kp, Ki, and Kd as 10, 0.1, and 1.5, respectively. Future investigations can integrate additional methodologies to precisely and accurately determine the PID constants (Kp, Ki, and Kd) mathematically.
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433Mhz基于PID(比例积分导数)的机器人精确面向方向
本研究旨在评估机器人方向控制系统的有效性,采用PID(比例积分导数)输出,并利用无线通信LoRa E32 433MHz。本研究中使用的实验机器人是一个装有4通道控制的坦克型机器人。LoRa在机器人控制系统中实现,与Android控制应用程序结合,通过串行数据通信。基于LoRa E32模块系统在远程通信应用中的可靠性,选择了该模块系统。然而,在使用LoRa传输控制数据时遇到的挑战包括数据传输缓慢以及机器人在非视线条件下的性能下降。为了克服这些挑战,采用PID方法为机器人生成控制数据,从而最大限度地减少与控制其运动相关的误差。PID系统利用罗盘传感器(HMC5883L)的反馈来评估用户传输的设定值数据,在计算中使用Kp、Ki和Kd来实现向设定值的平滑移动。本研究结果表明,使用无线LoRa E32通信直接控制机器人的误差范围为0.6%至13.34%。控制变量的试错法确定Kp、Ki和Kd的最佳值分别为10、0.1和1.5。未来的研究可以整合其他的方法来精确和准确地确定PID常数(Kp, Ki和Kd)。
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来源期刊
JOIV International Journal on Informatics Visualization
JOIV International Journal on Informatics Visualization Decision Sciences-Information Systems and Management
CiteScore
1.40
自引率
0.00%
发文量
100
审稿时长
16 weeks
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