摘 要
随着现代制造业向高精度、高效能方向发展，精密定位与运动控制成为机械电子工程领域的重要研究课题。本研究旨在解决复杂环境下精密设备的高精度定位与稳定运动控制问题，通过融合多传感器信息处理技术、智能控制算法以及机电一体化系统设计，提出了一种基于自适应模糊神经网络的复合控制策略。该方法结合了传统PID控制的稳定性优势和智能控制系统的灵活性特点，实现了对微米级甚至亚微米级定位精度的有效控制。实验结果表明，在不同工况条件下，所提出的控制系统能够将定位误差控制在±0.5μm以内，较现有技术水平提高了30%以上。此外，针对动态响应特性进行了深入分析，优化了控制器参数配置，使系统响应时间缩短至10ms以内，显著提升了生产效率。本研究不仅为精密制造提供了可靠的理论依据和技术支持，还为相关领域的创新发展奠定了坚实基础，特别是在航空航天、半导体制造等高端装备制造行业具有广阔的应用前景。通过对实际工业场景中的应用验证，证明了该控制方案具备良好的鲁棒性和适应性，能够在复杂多变的工作环境中保持稳定的性能输出，为推动我国高端制造业的发展做出了积极贡献。
关键词：精密定位 自适应模糊神经网络 智能控制算法
Abstract
As modern manufacturing advances towards higher precision and efficiency, precise positioning and motion control have become critical research topics in mechatronic engineering. This study aims to address the challenges of high-precision positioning and stable motion control for sophisticated equipment in complex environments. By integrating multi-sensor information processing technology, intelligent control algorithms, and mechatronic system design, an adaptive fuzzy neural network-based composite control strategy is proposed. This approach combines the stability advantages of traditional PID control with the flexibility of intelligent control systems, achieving effective control of positioning accuracy at the micron and sub-micron levels. Experimental results demonstrate that under various operating conditions, the proposed control system can maintain positioning errors within ±0.5 μm, representing an improvement of over 30% compared to existing technologies. Furthermore, a thorough analysis of dynamic response characteristics has been conducted, optimizing controller parameter configurations to reduce system response time to less than 10 ms, thereby significantly enhancing production efficiency. This research not only provides reliable theoretical foundations and technical support for precision manufacturing but also establishes a solid basis for innovation in related fields, particularly in high-end industries such as aerospace and semiconductor manufacturing. Industrial application validation confirms that the control scheme exhibits excellent robustness and adaptability, maintaining stable performance output in complex and variable working environments, thus making a positive contribution to the development of China's advanced manufacturing sector.
Keyword:Precision Positioning Adaptive Fuzzy Neural Network Intelligent Control Algorithm
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本文研究方法 1
2精密定位技术原理 2
2.1定位精度影响因素 2
2.2常用定位传感器分析 3
2.3精密定位算法研究 3
3运动控制系统设计 4
3.1控制系统架构分析 4
3.2关键控制算法研究 4
3.3系统稳定性评估 5
4实验验证与结果分析 6
4.1实验平台搭建 6
4.2测试方案设计 6
4.3实验数据分析 7
结论 7
参考文献 9
致谢 10
