WANG Tao 1 , CHAI Wen-wei 2 , LUO Chang-min 2 , LI Wen-qiang 1 , YE Zhi-feng 1.Optimization Design of Constant Pressure Valve Parameters of Aeroengine Fuel System[J].航空发动机,2024,50(2):134-138
Optimization Design of Constant Pressure Valve Parameters of Aeroengine Fuel System
DOI:
Key Words:constant pressure valve  state space model  multi-objective optimization  non-dominated sorting genetic algorithm  fuel system  aeroengine
Author NameAffiliation
WANG Tao 1 , CHAI Wen-wei 2 , LUO Chang-min 2 , LI Wen-qiang 1 , YE Zhi-feng 1 1. College of Energy and Power EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016China 2. AECC Guizhou Honglin Aviation Power Control Technology Co.LtdGuiyang 550009China 
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Abstract:The constant pressure valve supplies fuel to several servo mechanisms in the fuel system. Aiming at its design require? ments of stability, steady-state accuracy, robustness, and the competing and contradictory selection of multiple design parameters, a parameter design method based on optimization algorithms was proposed. The mathematical model of the constant pressure valve was established, and parameter design analysis was conducted based on the steady-state model. The results show that there is a steady flow operating range in the constant pressure valve, within this range, as the cross-sectional area of the spool increases, the flow rate sensitivity increases, but excessive cross-sectional area of the spool will increase the volume of the constant pressure valve. The steady-state parameters were calculated based on the pressure range of the constant pressure valve. With the adjusting time and overshoot as the goal, three groups of different constant-pressure chamber volumes were taken for conducting dynamic optimization based on the non-dominated sorting genetic algorithm (NSGA-Ⅱ) with the spring chamber volume, the diameter of damping aperture, the motion damping, and the spool mass as parameters. The Pareto solution set indicates that the adjusting time and the overshoot amount are contradictory. A set of solutions was selected and verified by the AMESim simulation. The optimized structural parameters can shorten the adjusting time by more than 20%, reduce the overshoot by more than 15%, and improve the dynamic performance of the constant pressure valve.
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