摘 要
随着能源危机和环境问题日益严峻，机械电子系统的高效节能优化成为研究热点。本研究旨在针对机械电子系统提出一种面向高效节能的优化控制策略，以实现系统性能提升与能耗降低。通过分析机械电子系统运行特性，建立其数学模型，采用智能算法对系统进行优化控制。基于遗传算法与粒子群优化算法的混合算法，构建了适应度函数，用于求解最优控制参数，同时引入模糊控制理论，使系统在不同工况下均能保持稳定高效运行。实验结果表明，该优化控制策略可使系统能耗平均降低约20%，效率提高15%左右，且系统响应速度加快，稳定性增强。此研究创新性地将多种智能算法与模糊控制相结合应用于机械电子系统优化控制中，在保证系统性能的前提下实现了显著的节能效果，为机械电子系统的高效节能优化提供了新思路和有效方法，具有重要的理论意义和应用价值。
关键词：机械电子系统优化 智能算法混合应用 节能控制策略
Abstract
As energy crises and environmental issues become increasingly severe, the optimization of mechatronic systems for high efficiency and energy conservation has emerged as a research hotspot. This study aims to propose an optimization control strategy targeting efficient energy-saving in mechatronic systems, thereby enhancing system performance while reducing energy consumption. By analyzing the operational characteristics of mechatronic systems, a mathematical model was established, and intelligent algorithms were employed for optimizing system control. A hybrid algorithm combining genetic algorithms and particle swarm optimization was utilized to construct a fitness function for solving optimal control parameters. Additionally, fuzzy control theory was introduced to ensure stable and efficient operation under varying working conditions. Experimental results demonstrate that this optimization control strategy can reduce system energy consumption by approximately 20% on average, increase efficiency by around 15%, expedite system response, and enhance stability. This research innovatively integrates multiple intelligent algorithms with fuzzy control in the optimization control of mechatronic systems, achieving significant energy savings while ensuring system performance, thus providing new insights and effective methods for the efficient energy-saving optimization of mechatronic systems, which holds important theoretical significance and application value.
Keyword:Mechanical Electronic System Optimization Intelligent Algorithm Hybrid Application Energy-Saving Control Strategy
目 录
1绪论 1
1.1高效节能研究背景与意义 1
1.2国内外研究现状综述 1
1.3本文研究方法概述 2
2能耗模型与优化目标 2
2.1机械电子系统能耗分析 2
2.2节能优化目标设定 3
2.3模型验证与评估方法 3
3控制策略设计与实现 4
3.1基于反馈的控制算法 4
3.2自适应控制技术应用 5
3.3多目标优化控制策略 5
4实验验证与结果分析 6
4.1实验平台搭建与测试 6
4.2实验数据采集与处理 7
4.3结果对比与性能评价 7
结论 8
参考文献 9
致谢 10
