Treffer: 基于滑模控制的智能灌浆控制系统.

Cement grouting technology is widely adopted in hydraulic engineering. However, traditional manual recording methods are confined to inaccuracy and poor real-time performance. Low grouting precision and frequent overpressure are often induced due to the manual regulation of pressure, rate, and water-cement ratio. To address these challenges, an intelligent grouting control system was designed and developed based on sliding mode control to enhance the automation and intelligence of the grouting process. By integrating intelligent sensors, programmable logic controller (PLC), and analog modules, the hardware for the intelligent grouting control system was developed. A comprehensive grouting pressure control model was established to derive a nonlinear orifice pressure mathematical model by calculating the orifice pressure and control the grouting pressure through regulating the valve opening. It is guaranteed that the actual orifice pressure tracks the calculated reference orifice pressure, achieving the desired control effect. The intelligent grouting monitoring and control system software, developed with Python, was composed of five modules: data acquisition module, parameter setting module, report generation module, historical record module, and process control module. It is indicated that the sliding mode control algorithm employed in the system is of significant advantages in dynamic response speed and steady-state error compared with the traditional control algorithms. It is indicated by the results that the designed intelligent grouting control system achieves real-time acquisition of data such as grouting pressure, flow rate, and density, as well as the automated control of grouting pumps and electric valves. During the stable grouting stage, a pressure control precision of ± 0. 02 MPa can be achieved by the sliding mode control algorithm, with fast response speed, small steady-state error, and robust performance. When the system is applied in actual engineering projects, automated and intelligent control of the grouting process can be achieved, grouting construction quality and efficiency can be enhanced. A foundational basis is provided for the full-process intelligent development of future grouting engineering. [ABSTRACT FROM AUTHOR]

水泥灌浆技术在水利工程中广泛应用, 但传统的人工记录方式存在数据不准确且实时性差, 人工调节压力、速率和 水灰比导致灌浆精度低、超压频繁。为解决上述问题, 设计并实现了基于滑模控制的智能灌浆控制系统, 旨在提高灌浆过程 的自动化和智能化。通过集成智能传感器、可编程逻辑控制器 (programmable logic controller, PLC) 和模拟量模块, 设计并研制 了智能灌浆控制系统硬件。建立了灌浆压力全过程控制模型, 通过计算孔口压力, 推导出非线性孔口压力数学模型, 并通过 调整阀门开度以控制灌浆压力, 使实际孔口压力跟踪计算参考的孔口压力, 达到控制效果。开发的智能灌浆控制系统软件采 用 Python 编写, 包含数据采集、参数设置、报表生成、历史记录及工艺控制五大模块。 系统中采用的滑模控制算法在动态响应 速度和稳态误差方面相比传统控制算法具有显著优势。结果显示, 设计研制的智能灌浆控制系统实现了灌浆压力、流量和密 度等数据的实时采集, 以及灌浆泵和电动阀的自动化控制。采用的滑模控制算法在稳定注浆阶段, 系统的压力控制精度达到 ± 0.02 MPa, 且具有响应速度快、稳态误差小和鲁棒性好的特点。系统在实际工程应用中, 实现了灌浆过程的自动化、智能化 控制, 提高了灌浆施工质量和效率, 为未来灌浆工程的全过程智能化发展提供了研究基础。 [ABSTRACT FROM AUTHOR]