基于智能控制的液压系统节能技术研究
摘要
液压系统广泛应用于工业领域，然而传统液压系统存在能量损耗大、效率低等问题。为解决上述问题并实现节能降耗，本研究基于智能控制技术对液压系统节能展开深入探讨。以提高液压系统能效为目标，构建了包含智能控制器、传感器网络及执行机构在内的集成化液压系统模型，采用模糊逻辑与神经网络算法相结合的方式优化控制策略。通过实验平台测试不同工况下系统的响应特性，结果表明所提出的智能控制系统能够有效降低溢流损失和节流损失，在典型工作循环中平均节能率达到25%以上。此外，该系统还具备自适应调节能力，可根据负载变化自动调整输出功率，进一步提升整体性能。本研究创新性地将智能控制理论应用于液压系统节能领域，不仅为液压传动与控制技术的发展提供了新思路，而且对于推动绿色制造具有重要意义。研究成果可直接应用于各类液压设备的升级改造，有助于降低能耗、减少碳排放，为实现可持续发展目标贡献力量。
关键词：液压系统节能；智能控制技术；模糊逻辑与神经网络
Abstract
Hydraulic systems are widely used in industrial fields; however, traditional hydraulic systems suffer from problems such as high energy loss and low efficiency. To address these issues and achieve energy conservation, this study conducts an in-depth investigation into hydraulic system energy saving based on intelligent control technology. Aiming to improve the energy efficiency of hydraulic systems, an integrated hydraulic system model was constructed, which includes an intelligent controller, a sensor network, and actuators. The control strategy was optimized by combining fuzzy logic with neural network algorithms. Through testing on an experimental platform under various operating conditions, the response characteristics of the system were analyzed. Results indicate that the proposed intelligent control system can effectively reduce overflow losses and throttling losses, achieving an average energy-saving rate of over 25% in typical working cycles. Moreover, the system demonstrates adaptive regulation capabilities, enabling automatic adjustment of output power according to load changes, thereby further enhancing overall performance. This research innovatively applies intelligent control theory to the field of hydraulic system energy saving, providing new insights for the development of hydraulic transmission and control technologies while contributing significantly to the promotion of green manufacturing. The research findings can be directly applied to the retrofitting and upgrading of various hydraulic devices, helping to reduce energy consumption, cut carbon emissions, and contribute to the realization of sustainable development goals.
Keywords：Energy Saving In Hydraulic Systems; Intelligent Control Technology; Fuzzy Logic And Neural Networks
目 录
摘要 I
Abstract II
一、绪论 1
(一) 研究背景与意义 1
(二) 国内外研究现状 1
(三) 研究方法概述 1
二、液压系统能耗分析 2
(一) 液压系统工作原理 2
(二) 能耗关键因素剖析 3
(三) 典型应用场景分析 3
三、智能控制技术应用 4
(一) 控制算法选择依据 4
(二) 传感器网络构建 5
(三) 实时监控与反馈机制 5
四、节能优化策略实施 6
(一) 参数优化设计 6
(二) 运行模式调整 7
(三) 效果评估体系建立 7
结 论 9
参考文献 10
摘要
液压系统广泛应用于工业领域，然而传统液压系统存在能量损耗大、效率低等问题。为解决上述问题并实现节能降耗，本研究基于智能控制技术对液压系统节能展开深入探讨。以提高液压系统能效为目标，构建了包含智能控制器、传感器网络及执行机构在内的集成化液压系统模型，采用模糊逻辑与神经网络算法相结合的方式优化控制策略。通过实验平台测试不同工况下系统的响应特性，结果表明所提出的智能控制系统能够有效降低溢流损失和节流损失，在典型工作循环中平均节能率达到25%以上。此外，该系统还具备自适应调节能力，可根据负载变化自动调整输出功率，进一步提升整体性能。本研究创新性地将智能控制理论应用于液压系统节能领域，不仅为液压传动与控制技术的发展提供了新思路，而且对于推动绿色制造具有重要意义。研究成果可直接应用于各类液压设备的升级改造，有助于降低能耗、减少碳排放，为实现可持续发展目标贡献力量。
关键词：液压系统节能；智能控制技术；模糊逻辑与神经网络
Abstract
Hydraulic systems are widely used in industrial fields; however, traditional hydraulic systems suffer from problems such as high energy loss and low efficiency. To address these issues and achieve energy conservation, this study conducts an in-depth investigation into hydraulic system energy saving based on intelligent control technology. Aiming to improve the energy efficiency of hydraulic systems, an integrated hydraulic system model was constructed, which includes an intelligent controller, a sensor network, and actuators. The control strategy was optimized by combining fuzzy logic with neural network algorithms. Through testing on an experimental platform under various operating conditions, the response characteristics of the system were analyzed. Results indicate that the proposed intelligent control system can effectively reduce overflow losses and throttling losses, achieving an average energy-saving rate of over 25% in typical working cycles. Moreover, the system demonstrates adaptive regulation capabilities, enabling automatic adjustment of output power according to load changes, thereby further enhancing overall performance. This research innovatively applies intelligent control theory to the field of hydraulic system energy saving, providing new insights for the development of hydraulic transmission and control technologies while contributing significantly to the promotion of green manufacturing. The research findings can be directly applied to the retrofitting and upgrading of various hydraulic devices, helping to reduce energy consumption, cut carbon emissions, and contribute to the realization of sustainable development goals.
Keywords：Energy Saving In Hydraulic Systems; Intelligent Control Technology; Fuzzy Logic And Neural Networks
目 录
摘要 I
Abstract II
一、绪论 1
(一) 研究背景与意义 1
(二) 国内外研究现状 1
(三) 研究方法概述 1
二、液压系统能耗分析 2
(一) 液压系统工作原理 2
(二) 能耗关键因素剖析 3
(三) 典型应用场景分析 3
三、智能控制技术应用 4
(一) 控制算法选择依据 4
(二) 传感器网络构建 5
(三) 实时监控与反馈机制 5
四、节能优化策略实施 6
(一) 参数优化设计 6
(二) 运行模式调整 7
(三) 效果评估体系建立 7
结 论 9
参考文献 10
