Influence analysis and optimization of starter power characteristics on engine starting performance
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摘要:
为研究起动机功率特性对航空发动机起动性能的影响,并确定发动机最佳的起动功率需求,建立了航空发动机空气涡轮起动系统匹配数学模型,仿真分析了起动机额定功率不同与额定功率一定而功率曲线不同时发动机的起动过程特征,以起动机额定功率最小为目标函数建立了发动机起动功率优化数学模型,并采用遗传算法进行优化。结果表明:对同一台发动机,当起动机额定功率增加20%,发动机起动时间可缩短10.32%;当起动机额定功率相同但功率特性曲线不同,发动机的起动时间相差3.44%;在保证发动机起动时间不变的情况下,优化得到的发动机起动需求功率减少了12.59%。研究结果可为航空发动机空气涡轮起动系统的起动机选型与参数设计提供理论参考。
Abstract:To study the influence of starter power characteristics on aero-engine starting performance and determine the optimal starting power demand for engine starting, the matching mathematical model of aero-engine air turbine starting system was established, and the influence of the starter with different rated powers and power curves on the starting process of the engine was simulated and analyzed. Finally, taking the minimum rated power of the starter as the objective function, the mathematical model of engine starting power optimization was established, and the genetic algorithm was used for optimization. The simulation results showed that for the same engine, the engine starting time was shortened by 10.32% when the rated power increased by 20%, and the starting time of the engine was 3.44% different when the rated power was the same but the power characteristic curve was different. And the optimized engine starting demand power was reduced by 12.59% under the condition of keeping the engine starting time unchanged. The results can provide a theoretical reference for the starter selection and parameter design of aero-engine air turbine starting system.
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表 1 优化模型约束条件参数
Table 1. Optimize model constraint parameters
参数 数值 T55,max/K 723 tsta,max/s 37.05 Mct,max/(N·m) 282 Mct,min/(N·m) 40 Mdelt,fire,min/(N·m) 90 表 2 优化前后起动机及发动机起动性能参数对比
Table 2. Comparison of starter and engine starting performance parameters before and after optimization
参数 数值 变化/% 优化前 优化后 Nct,max/kW 60.47 52.87 −12.59 T55(最大值)/K 662.54 662.57 tsta/s 37.05 37.05 Mct(最大值)/(N·m) 262.40 281.80 7.39 Mct(最小值)/(N·m) 49.21 54.15 10.04 Mdelt,fire/(N·m) 96.76 95.06 −1.76 -
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