【摘要】 针对喷口不可调涡扇发动机实时线性动态模型的建立问题,提出了一种基于粒子群优化算法小偏差状态空间模型的方法.选取高压转子换算转速为增益调度参数,根据发动机相似原理,建立了发动机全飞行包线分段实时线性模型.全飞行包线内所提出的分段实时线性模型与非线性模型仿真对比结果表明:涡扇发动机高压压气机出口总压、低压涡轮出口温度、高压转子转速和低压转子转速的最大相对误差不超过3.5%,仿真结果验证了该方法的有效性.更多还原

【Abstract】 Aiming at establishing a real-time linear model of a turbofan engine with a fixed nozzle,a method of applying particle swarm optimization(PSO)algorithm to optimize state space model was proposed.The high pressure rotor corrected speed was selected as the gain scheduling parameter,a real-time piecewise linear dynamic model(RPLDM)which covers the entire operating envelop was built.The proposed optimizing method was validated by the similarity between the simulation results of the optimized linear model and the nonlinear model running in the entire flight envelop.Specifically,the comparative errors like pressure, temperature,and shaft speed of the turbofan engine are all within 3.5%.更多还原