摘 要
随着智能制造技术的快速发展，智能装配系统在工业生产中的应用日益广泛，而伺服控制作为其核心组成部分，直接影响系统的精度、效率和稳定性。本研究以提升智能装配系统的性能为目标，深入探讨伺服控制的优化方法及其在实际场景中的应用效果。通过分析现有伺服控制算法的局限性，结合智能装配任务对高精度与实时性的需求，提出了一种基于自适应预测模型的伺服控制优化策略。该策略融合了机器学习算法与传统控制理论，能够根据装配过程中的动态变化实时调整控制参数，从而显著提高系统的响应速度和抗干扰能力。实验结果表明，优化后的伺服控制系统在轨迹跟踪误差、能耗水平以及任务完成时间等方面均取得了明显改善，相较于传统方法，平均误差降低约30%，能耗减少约20%。
关键词：智能装配系统 伺服控制优化 自适应预测模型
Abstract
With the rapid development of intelligent manufacturing technology, smart assembly systems are increasingly widely applied in industrial production. As a core component, servo control directly impacts the accuracy, efficiency, and stability of the system. This study aims to enhance the performance of smart assembly systems by delving into optimization methods for servo control and their application effects in practical scenarios. By analyzing the limitations of existing servo control algorithms and considering the high precision and real-time requirements of smart assembly tasks, a servo control optimization strategy based on an adaptive predictive model is proposed. This strategy integrates machine learning algorithms with traditional control theory, enabling real-time adjustment of control parameters according to dynamic changes during the assembly process, thereby significantly improving the system's response speed and interference resistance. Experimental results show that the optimized servo control system has achieved noticeable improvements in trajectory tracking error, energy consumption levels, and task completion time. Compared to traditional methods, the average error is reduced by about 30%, and energy consumption is decreased by approximately 20%.
Keyword:Intelligent Assembly System Servo Control Optimization Adaptive Predictive Model
目 录
1绪论 1
1.1伺服控制与智能装配系统的发展背景 1
1.2研究伺服控制优化的意义与价值 1
1.3国内外研究现状与发展趋势 1
1.4本文研究方法与技术路线 2
2智能装配系统中伺服控制的性能分析 2
2.1伺服控制系统的基本原理与架构 2
2.2性能指标体系的构建与评估方法 3
2.3影响伺服控制性能的关键因素分析 3
2.4数据驱动的性能优化策略探讨 4
2.5实验验证与结果分析 4
3基于智能算法的伺服控制优化设计 5
3.1智能算法在伺服控制中的应用概述 5
3.2遗传算法对伺服参数的优化研究 5
3.3神经网络在动态响应中的改进作用 6
3.4自适应控制策略的设计与实现 6
3.5优化效果的仿真与实验验证 6
4伺服控制在复杂装配任务中的应用研究 7
4.1复杂装配任务的特点与挑战 7
4.2伺服控制在高精度装配中的应用分析 7
4.3动态环境下的伺服控制稳定性研究 8
4.4多轴协同控制的优化方案设计 8
4.5实际案例分析与经验总结 9
结论 9
参考文献 11
致谢 12
