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Collaborative Multi-Sensor Fusion for Intelligent Flow Regulation and State Monitoring in Digital Plunger Pumps
Fang Yang1, Zisheng Lian1, Zhandong Zhang2
1Shanxi Key Laboratory of Fully Mechanized Coal Mining Equipment, College of Mechanical Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
This study introduces an intelligent flow control method for hydraulic supports, improving pump efficiency and stability by precisely matching flow demands. The new system significantly reduces system impacts and energy waste in mining operations.
Area of Science:
- Mechanical Engineering
- Fluid Power Systems
- Control Systems
Background:
- Traditional high-pressure, large-flow emulsion pump stations struggle with drastic flow rate changes in hydraulic supports due to fixed pump displacement.
- This leads to frequent system unloading, severe impacts, and damage, necessitating a more adaptive and intelligent solution.
Purpose of the Study:
- To propose and develop an intelligent flow control method based on digital flow distribution for active perception and matching of hydraulic support demands.
- To create a compact, electro-hydraulically separated prototype with stepless flow regulation for enhanced performance and reliability.
Main Methods:
- Developed a prototype integrating high-speed switching solenoid valves, a piston push rod, a plunger pump, sensors, and a controller.
- Implemented an optimized combined regulation strategy using adjustable duty cycles to monitor piston position and dynamically adjust valve switching.
- Employed co-simulation and experimental validation to analyze dynamic coupling and optimize system reliability by examining parameters like reset spring stiffness and piston cylinder diameter.
Main Results:
- The system achieved a flow regulation range of 83% under load and 57% without load, extending the effective pump flow range to 20-100%.
- Demonstrated significant reductions in flow root mean square error (53.4 L/min vs. 357.2 L/min) and fluctuation amplitude (±3.5 L/min vs. ±12.8 L/min) compared to traditional methods.
- Achieved 15-20% energy efficiency improvement due to reduced overflow losses and enabled intelligent, on-demand supply of dynamic flow and pressure.
Conclusions:
- The proposed intelligent flow control method and its associated electro-hydraulically separated structure provide a practical solution for upgrading fluid supply systems in mechanized mining.
- The multi-cycle optimized regulation strategy based on digital displacement pump technology effectively achieves accurate, smooth, and stable pump output matching support demands.
- The system offers fast response, high energy efficiency, and intelligent operation, marking a significant advancement over traditional unloading methods.
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