基于预测扭矩前馈的涡轴发动机内模控制方法

卢辰昊; 李秋红; 姜洁; 李业波

基于预测扭矩前馈的涡轴发动机内模控制方法

南京航空航天大学能源与动力学院, 南京 210016

基金项目: 航空科学基金(20110652003); 中央高校基本科研业务费专项资金(NZ2012104); 江苏高校优势学科建设工程资助项目

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出版历程
- 收稿日期: 2012-05-13
- 刊出日期: 2013-05-28

Internal model control method based on predicted torque feed-forward for turbo-shaft engine

College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

摘要

摘要: 基于内模原理设计了涡轴发动机功率涡轮转速控制器.针对主旋翼扭矩变化对功率涡轮转速的干扰,提出了一种基于极端学习机的扭矩预测方法.极端学习机训练基于动态仿真数据,其输入通过相关分析获得.基于内模原理的功率涡轮转速控制器采用极点配置的设计方法,将输入信号的内模直接加入控制器,实现鲁棒跟踪.扭矩前馈采用比例微分(PD)控制策略,实现对发动机负载变化干扰的有效补偿.数字仿真结果表明:极端学习机扭矩预测精度高,扭矩相对误差小于1.5‰,与不加前馈控制相比,所提出的控制方法减小了机动飞行过程中功率涡轮转速的超调或下垂30%以上.
- 涡轴发动机 /
- 内模控制 /
- 极端学习机 /
- 相关分析法 /
- 扭矩预测
Abstract: The power turbine rotor speed controller based on internal model principle was designed for turbo-shaft engine.To suppress the disturbance of the torque variation of the main rotor to the power turbine rotor speed,a torque prediction method based on extreme learning machine was proposed.The training of extrem learning machine(ELM)was based on the data of dynamic simulation,and the input variables were obtained by correlation analysis approach.The internal model based on power turbine rotor speed controller was designed by pole placement.The internal model of input signals was embedded into the controller to obtain robust tracking.In order to achieve effective compensation of the engine's load variation,the proportional-differential feed-forward compensator was adopted.The simulation results indicate that the torque prediction based on ELM has excellent accuracy,and the relative prediction error is less than 1.5‰.Compared with the control without torque feed-forward,the proposed control method reduces both the overshoot and droop of the power turbine rotor speed more than 30% during maneuvering flight.
- turbo-shaft engine /
- internal model control /
- extreme learning machine /
- correlation analysis approach /
- torque prediction

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参考文献(16)

[1]	Garg S,Ouzts P J,Lorenzo C F,et al.IMPAC:an integrated methodology for propulsion and airframe control[C]//Proceedings of the IEEE American Control Conference.Boston,MA,USA:IEEE,1991:747-754.
[2]	Garg S,Mattern D L.Application of an integrated methodology for propulsion and airframe control design to a STOVL aircraft[R].AIAA-94-3611,1994.
[3]	Smith B J,Zagranski R D.Closed loop bench testing of the next generation control system for helicopter engines[C]//Proceedings of 58th Annual Forum.Montreal,Canada:AHS International,2002:1041-1050.
[4]	张海波,孙立国,孙健国.直升机/涡轴发动机综合系统鲁棒抗扰控制设计[J].航空学报,2010,31(5):883-892. ZHANG Haibo,SUN Liguo,SUN Jianguo.Robust disturbance rejection control design for integrated helicopter system/turbo-shaft engine[J].Acta Aeronautica et Astronautica Sinica,2010,31(5):883-892.(in Chinese)
[5]	孙立国,孙健国,张海波,等.基于直升机/发动机非线性综合仿真模型的增广LQR控制器设计[J].航空动力学报,2010,25(2):471-476. SUN Liguo,SUN Jianguo,ZHANG Haibo,et al.Augmented linear quadratic regulator controller design based on non-linear integrated helicopter/engine model[J].Journal of Aerospace Power,2010,25(2):471-476.(in Chinese)
[6]	李胜泉,杨征山,孙健国.基于内模原理的涡轴发动机状态反馈控制方法[J].航空动力学报,2007,22(5):829-832. LI Shengquan,YANG Zhengshan,SUN Jianguo.Investigation of state feedback control based on internal model principle for an turbo-shaft engine[J].Journal of Aerospace Power,2007,22(5):829-832.(in Chinese)
[7]	孙立国.基于直升机/发动机综合仿真的发动机性能优化及控制[D].南京:南京航空航天大学,2010. SUN Liguo.Performance seeking control of aero-engine based on integrated helicopter/turboshaft engine simulation[D].Nanjing:Nanjing University of Aeronautics and Astronautics,2010.(in Chinese)
[8]	张海波,孙健国,孙立国.一种涡轴发动机转速抗扰控制器设计及应用[J].航空动力学报,2010,25(4):943-950. ZHANG Haibo,SUN Jianguo,SUN Liguo.Design and application of a disturbance rejection rotor speed control method for turbo-shaft engines[J].Journal of Aerospace Power,2010,25(4):943-950.(in Chinese)
[9]	孙立国,孙健国,张海波,等.基于支持向量回归机的发动机/直升机扭矩超前控制[J].航空动力学报,2011,26(3):1-7. SUN Liguo,SUN Jianguo,ZHANG Haibo,et al.Torque feed-forward control of engine/helicopter system based on support vector regression[J].Journal of Aerospace Power,2011,26(3):1-7.(in Chinese)
[10]	张弦,王宏力.具有选择与遗忘机制的极端学习机在时序列预测中的应用[J].物理学报,2011,60(8):080504.1-080504.6. ZHANG Xian,WANG Hongli.Selective forgetting extreme learning machine and its application to time series prediction[J].Acta Physica Sinica,2011,60(8):080504.1-080505.6.(in Chinese)
[11]	唐晓亮,韩敏.一种基于极端学习机的半监督学习方法[J].大连理工大学学报,2010,50(5):771-776. TANG Xiaoliang,HAN Min.A semi-supervised learning method based on extreme learning machine[J].Journal of Dalian University of Technology,2010,50(5):771-776.(in Chinese)
[12]	HUANG Guangbin,ZHU Qinyu,Siew C K.Extreme learning machine:theory and applications[J].Neurocomputing,2006,70(1/2/3):489-501.
[13]	王新迎,韩敏.基于极端学习机的多变量混沌时间序列预测[J].物理学报,2012,61(8):97-105. WANG Xinying,HAN Min.Multivariate chaotic time series prediction based on extreme learning machine[J].Acta Physica Sinica,2012,61(8):97-105.(in Chinese)
[14]	Chen C T.Linear system theory and design[M].Oxford,UK:Oxford University Press,1999.
[15]	李秋红,孙健国.基于遗传算法的航空发动机状态变量模型建立方法[J].航空动力学报,2006,21(2):427-431. LI Qiuhong,SUN Jianguo.Aero-engine state variable modeling based on the genetic algorithm[J].Journal of Aerospace Power,2006,21(2):427-431.(in Chinese)
[16]	Howlett J J.UH-60A Black Hawk engineering simulation program:Volume 1 mathematical model[R].NASA 166309,1981.