Takagi-Sugeno fuzzy model identification for turbofan aero-engines with guaranteed stability

This paper is concerned with identifying a Takagi-Sugeno (TS) fuzzy model for turbofan aero-engines working under the maximum power status (non-afterburning). To establish the fuzzy system, theoretical contributions are made as follows. First, by fixing antecedent parameters, the estimation of consequent parameters in state-space representations is formulated as minimizing a quadratic cost function. Second, to avoid obtaining unstable identified models, a new theorem is proposed to transform the prior-knowledge of stability into constraints. Then based on the aforementioned work, the identification problem is synthesized as a constrained quadratic optimization. By solving the constrained optimization, a TS fuzzy system is identified with guaranteed stability. Finally, the proposed method is applied to the turbofan aero-engine using simulation data generated from an aerothermodynamics component-level model. Results show the identified fuzzy model achieves a high fitting accuracy while stabilities of the overall fuzzy system and all its local models are also guaranteed.     

Adaptive modification of turbofan engine nonlinear model based on LSTM neural networks and hybrid optimization method

An accurate and reliable turbofan engine model which can describe its dynamic behavior within the full flight envelop and lifecycle plays a critical role in performance optimization, controller design and fault diagnosis. However, due to the performance differences caused by the tolerance of engine manufacturing and assembly, and performance degradation during continuously stringent environmental regulations, the model accuracy is severely reduced. In this paper, an adaptive modification method of turbofan engine nonlinear Component-Llevel Model (CLM) based on Long Short-Term Memory (LSTM) Neural Network (NN) and hybrid optimization algorithm is pro-posed. First, a dynamic compensator with a combined LSTM NN architecture is constructed to compensate for the initial error between the experimental data and CLM of a turbofan engine under health condition. Then, a sensitivity analysis approach based on the entropy coefficient and technique for order preference by similarity to an ideal solution integrated evaluation is developed to choose the unmeasurable health parameters to be adjusted. Finally, a parallel hybrid optimization algorithm is developed to complete the adaptive model modification when the performance degrades. The proposed method is verified on a military low-bypass twin-spool turbofan engine, and the experimental results show the effectiveness of the proposed method.     

大涵道比宽体客机发动机方案设计及系列化发展研究

基于宽体客机航空发动机系列化发展进行了总体性能方案设计,并分别基于保持整机不变和保持核心机不变的原则,对推力系列化发展方案进行了分析。结果表明,对于减推力使用发动机而言,可以直接采用降低高低压轴转速的方式;对于推力增长发动机而言,需重新匹配低压系统以得到更优化的方案。     

基于改进拟合法的涡扇发动机状态变量模型建立方法

为解决拟合法建立涡扇发动机状态变量模型时初值难以选取的问题和有效提高模型的精度,研究了一种改进的优化拟合方法.针对拟合法初值难以选取的问题,采用改进偏导数法获得的优化迭代初值;根据发动机稳态工作点线性化模型的动态响应与该点处的非线性模型动态响应一致的原则,采用线性最小二乘优化拟合法建立某型涡扇发动机状态变量模型.通过在不同状态工作点、采用不同模型结构,与改进偏导数法和非线性部件级模型仿真结果相比较表明:该方法能有效保证模型收敛性,具有较高的建模精度,并适用于高阶系统建模.     

民用大涵道比涡扇发动机吸雨能力评估的方法研究

从发动机吸雨后性能改变的基本原理出发,建立了部件气动热力损失、机械损失和工质热力学通用模型,借鉴适航咨询通告初步定义了关键吸雨工况及水含量。基于商用性能分析软件,对一个大涵道比9的涡扇发动机各项性能的变化进行了计算与分析,提出了一种定量描述发动机吸雨能力的评估方法。     

一种涡扇发动机加减速转速变化率闭环控制技术

针对涡扇发动机加减速的特点和控制需求,在对比现有控制算法的基础上提出一种新的转速变化率(N-dot)闭环控制技术。通过引入积分补偿,消除了原理性稳态误差,且控制参数机理清晰,易于设计,具备较高的工程应用价值。针对控制回路切换带来积分饱和的技术难点,设计工程实用的输出回归抗积分饱和方法,实现与其它控制器协调工作。基于涡扇发动机开展了Matlab桌面仿真研究和台架试验验证,结果表明,本文提出的控制技术能够取得满意的控制效果:N-dot反馈能够很好跟随N-dot期望指令,跟随误差在当前期望值的±10%以内,控制算法对噪声不敏感,对于涡扇发动机加减速过程多控制回路切换场景,不存在回路干扰和积分饱和现象。     

基于粒子群核极限学习机的涡扇发动机加速过程模型辨识

针对解析法建立涡扇发动机加速过程模型精度和实时性不高的问题,提出了一种基于粒子群核极值学习机(PSO-KELM)的涡扇发动机加速过程模型数据驱动辨识方法,构建涡扇发动机加速过程模型,结合加速过程试车数据,利用PSO-KELM方法对该加速模型进行辨识。试验结果表明:低压转子转速、高压转子转速和低压涡轮出口燃气总温都较好地逼近了试车数据,最大相对误差均值分别为1.013%,0.355%和1.055%,平均计算时间为0.04ms。精度和实时性均优于反向传播神经网络和粒子群支持向量回归方法,可用于发动机状态监控和性能优化控制。     

某型发动机起动模型的支持向量机辨识及应用

为了解决某型涡扇发动机慢车转速以下的数学模型难以建立,无法进行起动性能数值计算的问题,提出了用支持向量机辨识起动模型,依据辨识结果估算起动性能的方法。采用发动机起动试验数据作为学习样本,建立了基于支持向量机的非线性动态起动模型。根据该型发动机起动供油量调整试验得到的供油压力数据,利用所建立的模型对起动性能进行了估算,给出了估算结果与试验数据的对比情况。研究表明,将支持向量机用于起动模型的辨识是可行的,能够较好地解决某型发动机起动性能计算的难题。     

涡扇发动机二元喷管模型吹风对比试验

在多功能热喷流实验台,进行了某型涡扇发动机二元喷管模型试验件与常规轴对称喷管模型试验件吹风对比试验。试验结果表明:与常规轴对称喷管相比,采用二元喷管后,其尾喷流的流场速度快速衰减,其温度比常规轴对称喷管衰减得快得多,射流的高温区沿轴向大幅减少(大约为原来的1/5),这对红外辐射的抑制十分有利。     

超音通流风扇发动机初探

从不同的角度对超音通流风扇发动机进行了探讨，介绍了超音通流风扇（ＳＴＦＦ）的工作模式及超音通流风扇与涡轮喷气发动机（ＳＴＦＦ－ＴＪ）、空气涡轮火箭组合发动机（ＳＴＦＦ－ＡＴＲ）的性能优势，讨论了ＳＴＦＦ发动机与飞机的一体化问题，分析了影响安装阻力的主要因素。指出ＳＴＦＦ发动机比传统的涡轮风扇发动机（ＴＢＥ）的摩擦阻力系数低，升阻比高，说明这是一种有巨大潜力的新型发动机。