Optimization of Aero Engine Acceleration Control in Combat State Based on Genetic Algorithms
Optimization of Aero Engine Acceleration Control in Combat State Based on Genetic Algorithms
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DOI：
10.1515/tjj-2012-0003
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发表时间：
2012-03
期刊：
影响因子：
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通讯作者：
Jie Li;D. Fan;V. Sreeram
中科院分区：
文献类型：
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作者：
Jie Li;D. Fan;V. Sreeram
摘要为了充分发挥航空发动机的潜力，提高发动机在战斗状态下的加速性能，设计了一种基于遗传算法的航空发动机在线优化控制器。为了验证所提出的控制方法的有效性，在整个飞行包线内对所设计的控制器和航空发动机模型进行了详细的联合仿真试验。仿真试验结果表明，该控制算法具有收敛速度快、效率高的特点，能够充分发挥航空发动机的加速性能潜力。与原控制器相比，所设计的在线优化控制器（DOOC）提高了加速过程的安全性，在整个飞行包线范围内大大提高了发动机推力，在随机选取的工作状态下，推力平均提高8.1%。采用DOOC的飞机在作战状态下可以获得更好的作战优势。
Abstract In order to drastically exploit the potential of the aero engine and improve acceleration performance in the combat state, an on-line optimized controller based on genetic algorithms is designed for an aero engine. For testing the validity of the presented control method, detailed joint simulation tests of the designed controller and the aero engine model are performed in the whole flight envelope. Simulation test results show that the presented control algorithm has characteristics of rapid convergence speed, high efficiency and can fully exploit the acceleration performance potential of the aero engine. Compared with the former controller, the designed on-line optimized controller (DOOC) can improve the security of the acceleration process and greatly enhance the aero engine thrust in the whole range of the flight envelope, the thrust increases an average of 8.1% in the randomly selected working states. The plane which adopts DOOC can acquire better fighting advantage in the combat state.