摘 要
随着现代工业自动化水平的不断提升，机械电子系统在各个领域中的应用日益广泛，对驱动技术提出了更高要求，智能驱动技术成为研究热点。本研究旨在探索机械电子系统中智能驱动技术的应用方法与效果，以期提高系统的运行效率、精度和稳定性。通过理论分析结合仿真实验的方法，选取典型机械电子系统为研究对象，深入研究了基于模糊控制、神经网络等智能算法的驱动技术。结果表明，智能驱动技术能够根据负载变化自动调整输出参数，使系统具有更好的动态响应特性，在复杂工况下仍能保持高效稳定运行。创新性地将多种智能算法融合应用于驱动控制，解决了传统驱动技术适应性差的问题，提高了系统的智能化水平。此外，还提出了一种新的故障诊断与预测模型，可提前发现潜在故障并采取预防措施，进一步保障了系统的可靠性。本研究为机械电子系统中智能驱动技术的实际应用提供了理论依据和技术支持，对推动相关领域的发展具有重要意义。
关键词：智能驱动技术 机械电子系统 模糊控制
Abstract
With the continuous improvement of modern industrial automation, mechatronic systems are being increasingly applied across various fields, imposing higher demands on drive technologies and making intelligent drive technology a research hotspot. This study aims to explore the application methods and effects of intelligent drive technology in mechatronic systems to enhance operational efficiency, precision, and stability. By integrating theoretical analysis with simulation experiments, this research focuses on typical mechatronic systems and delves into drive technologies based on intelligent algorithms such as fuzzy control and neural networks. The results indicate that intelligent drive technology can automatically adjust output parameters in response to load changes, thereby improving dynamic response characteristics and maintaining efficient and stable operation under complex working conditions. Innovatively, this study integrates multiple intelligent algorithms into drive control, addressing the poor adaptability of traditional drive technologies and enhancing system intelligence. Additionally, a new fault diagnosis and prediction model is proposed, which can detect potential faults in advance and implement preventive measures, further ensuring system reliability. This research provides theoretical foundations and technical support for the practical application of intelligent drive technology in mechatronic systems, significantly contributing to the development of related fields.
Keyword:Intelligent Drive Technology Mechatronic System Fuzzy Control
目 录
1绪论 1
1.1研究背景与意义 1
1.2国内外研究现状 1
1.3研究方法与技术路线 2
2智能驱动技术原理 2
2.1驱动系统基本构成 2
2.2关键技术分析 3
2.3控制算法研究 3
2.4性能评估指标 4
3智能驱动技术实现 4
3.1硬件平台搭建 4
3.2软件系统设计 5
3.3人机交互界面 5
3.4测试与验证方法 6
4应用案例分析 6
4.1工业制造领域应用 7
4.2智能物流系统应用 7
4.3机器人技术应用 8
4.4应用效果评价 8
结论 9
参考文献 10
致谢 11
