自平衡双轮车的设计与开发

Vilas V Khasnis, K Himanth Raj, Uday Raj Kumar, Monish V, Kallamadi Murali Krishna
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引用次数: 0

摘要

自平衡机器人是技术与实际应用的一个迷人交叉点。本项目旨在设计和开发一种能够自主保持稳定和平衡的自平衡双轮机器人。该机器人从人类平衡和运动原理中汲取灵感,采用传感器、致动器和控制算法的组合来实现目标。该项目首先进行了深入的文献调查,探索了自平衡机器人领域的现有研究和方法。利用从主要出版物中获得的见解,该项目概述了自平衡机器人设计的基本原理、传感器融合技术、先进的控制方法和固有的挑战。关键部件包括 Arduino Uno 板、加速度计、陀螺仪、直流电机、电池和可选的反作用力轮,这些部件都经过精心挑选并集成到机器人的硬件架构中。硬件选择、组装、传感器集成、微控制器编程和电机控制的系统化方法确保了设计的连贯性和功能性。在整个开发过程中,重点放在严格的测试、校准和迭代改进上。机器人要经受各种环境条件和场景的考验,以验证其稳定性和性能。校准程序完善了传感器精度和控制算法,增强了机器人在动态条件下保持平衡的能力。项目的最终成果是创建了一个全面的文档包,详细介绍了原理图、代码解释、组装说明和测试方法。此外,演示文稿还展示了机器人的功能、设计原理和潜在应用。本项目严格按照概述的步骤进行,并充分利用现有研究的见解,旨在推动自平衡机器人技术的发展,并为这一激动人心的领域未来的探索和创新奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Development of Self Balancing Two Wheeler
The Self-balancing robots represent a fascinating intersection of technology and practical application. This project aims to design and develop a self-balancing two- wheeler robot capable of maintaining stability and balance autonomously. Drawing inspiration from principles observed in human balance and locomotion, the robot employs a combination of sensors, actuators, and control algorithms to achieve its objective. The project begins with an in-depth literature survey, exploring existing research and methodologies in the field of self-balancing robotics. Leveraging insights from key publications, the project outlines fundamental principles, sensor fusion techniques, advanced control methodologies, and challenges inherent in self-balancing robot design. Key components including an Arduino Uno board, accelerometers, gyroscopes, DC motors, batteries, and optional reaction wheels are carefully selected and integrated into the robot's hardware architecture. A systematic approach to hardware selection, assembly, sensor integration, microcontroller programming, and motor control ensures a coherent and functional design. Throughout the development process, emphasis is placed on rigorous testing, calibration, and iterative improvement. The robot is subjected to various environmental conditions and scenarios to validate its stability and performance. Calibration procedures refine sensor accuracy and control algorithms, enhancing the robot's ability to maintain balance under dynamic conditions. The project culminates in the creation of a comprehensive documentation package, detailing schematics, code explanations, assembly instructions, and testing methodologies. Additionally, a presentation showcases the robot's functionality, design rationale, and potential applications. By meticulously following the outlined steps and leveraging insights from existing research, this project aims to contribute to the advancement of self-balancing robotics and serve as a foundation for future exploration and innovation in this exciting field
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