A Novel Composite Model Predictive Control Method Based on Neural Network for Hypersonic Vehicles

doi:10.7652/xjtuxb201706005

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A Novel Composite Model Predictive Control Method Based on Neural Network for Hypersonic Vehicles

更新时间：2025-07-09

- A Novel Composite Model Predictive Control Method Based on Neural Network for Hypersonic Vehicles
- Vol. 51, Issue 6, Pages: 28-34+65(2017)
- 作者机构：
  
  西安交通大学电子与信息工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201706005
  CLC： TP273
- Online First：10 June 2017，
  
  Published：2017
- 稿件说明：
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A Novel Composite Model Predictive Control Method Based on Neural Network for Hypersonic Vehicles[J]. 2017, 51(6): 28-34+65.
DOI：

A Novel Composite Model Predictive Control Method Based on Neural Network for Hypersonic Vehicles[J]. 2017, 51(6): 28-34+65. DOI： 10.7652/xjtuxb201706005.

摘要

针对高超声速飞行器(HV)受外界持续干扰影响以及非对称约束限制的问题

提出了一种基于神经网络的新型复合预测控制方法。首先

为了实现HV对攻角和控制信号这2类非对称约束的限制

利用多面体不变集处理非对称约束的能力

基于HV多个速度和高度的离散点

构建多面体不变集序列

并设计HV标称纵向模型(无持续干扰)的标称预测控制器; 然后

基于神经网络

设计自适应神经网络干扰观测器估计HV的速度、攻角、俯仰角速率3个回路的干扰

并获得补偿控制器

有效抑制持续干扰。仿真结果表明:在HV受到外界持续干扰以及非对称约束限制的情况下

该方法可保证高度跟踪误差和速度跟踪误差分别收敛到10

-4

km和10

-4

km/s的范围内

而无补偿控制方法的跟踪误差则会大幅度振荡。

Abstract

A novel composite model predictive control method based on neural network is proposed for a constrained hypersonic vehicle(HV)in the presence of external persistent disturbances and restriction of asymmetric constraints. Firstly

a stable polyhedral invariant set is constructed based on multiple discrete points of velocity and height of HV

and the ability of the set to deal with asymmetric constraint is used to limit asymmetric constraints of control signals and angle of attack. A nominal predictive controller for the nominal longitudinal theoretical model of HV without external persistent disturbances is designed. Secondly

an adaptive neural network disturbance observer is designed

and the observer is used to estimate the disturbances in loop

s of velocity

angle of attack and pitch rate. An auxiliary compensation controller of the nominal predictive controller is appended to effectively attenuate the influences of external persistent disturbances. Simulation results show that when HV is affected by persistent disturbances and limitation of asymmetric constraints

the proposed method guarantees the tracking errors for altitude and velocity to converge into sufficiently small ranges of 10

-4

km and 10

-4

km/s

respectively

while the tracking errors from the uncompensated control methods are oscillating in large amplitude.

关键词

Keywords

references

FIDAN B, MIRMIRANI M, IOANNOU P A. Flight dynamics and control of air-breathing hypersonic vehicles: review and new directions [C]∥12th AIAA International Space Planes and Hypersonic Systems and Technologies. Reston, VA, USA: AIAA, 2003: 1-24.

RODRIGUEZ A A, DICKESON J J, CIFDALOZ O, et al. Modeling and control of scramjet-powered hypersonic vehicles: challenges, trends, and tradeoffs [C]∥AIAA Guidance, Navigation and Control Conference and Exhibit. Reston, VA, USA: AIAA, 2008: 1-40.

WANG Qian, STENGEL R F. Robust nonlinear control of a hypersonic aircraft [J]. Journal of Guidance, Control, and Dynamics, 2000, 23(4): 577-585.

XU Haojian, MIRMIRANI M D, IOANNOU P A. Adaptive sliding mode control design for a hypersonic flight vehicle [J]. Journal of Guidance, Control, and Dynamics, 2004, 27(5): 829-838.

ZONG Qun, WANG Jie, TAO Yang. Adaptive high-order dynamic sliding mode control for a flexible air-breathing hypersonic vehicle [J]. International Journal of Robust and Nonlinear Control, 2013, 23(15): 1718-1736.

WANG Jie, ZONG Qun, SU Rui, et al. Continuous high order sliding mode controller design for a flexible air-breathing hypersonic vehicle [J]. ISA Transactions, 2014, 53(3): 690-698.

MARRISON C I, STENGEL R F. Design of robust control systems for a hypersonic aircraft [J]. Journal of Guidance, Control, and Dynamics, 1998, 21(1): 58-63.

SIGTHORSSON D, JANKOVSKY P, SERRANI A, et al. Robust linear output feedback control of an airbreathing hypersonic vehicle [J]. Journal of Guidance, Control, and Dynamics, 2008, 31(4): 1052-1066.

FIORENTINI L, SERRANI A. Adaptive restricted trajectory tracking for a non-minimum phase hypersonic vehicle model [J]. Automatica, 2012, 48(7): 1248-1261.

WAN Jing, WANG Qian, AI Jianliang. Dynamic inversion-based control system of a hypersonic vehicle with model uncertainty [C]∥The 18th AIAA/3AF International Space Planes and Hypersonic Systems and Technologies Conference. Reston, VA, USA: AIAA, 2012: 24-28.

高道祥, 孙增圻, 杜天容. 高超声速飞行器基于Back-stepping的离散控制器设计 [J]. 控制与决策, 2009, 24(3): 459-463.

GAO Daoxiang, SUN Zengqi, DU Tianrong. Discrete-time controller design for hypersonic vehicle via back-stepping [J]. Control and Decision, 2009, 24(3): 459-463.

FIORENTINI L, SERRANI A, BOLENDER M A, et al. Nonlinear robust adaptive control of flexible air-breathing hypersonic vehicles [J]. Journal of Guidance, Control, and Dynamics, 2009, 32(2): 402-417.

高海燕, 蔡远利. 高超声速飞行器的滑模预测控制方法 [J]. 西安交通大学学报, 2014, 48(1): 67-72.

GAO Haiyan, CAI Yuanli. Sliding mode predictive control for hypersonic vehicle [J]. Journal of Xi'an Jiaotong University, 2014, 48(1): 67-72.

YANG Jun, ZHAO Zhenhua, LI Shihua, et al. Composite predictive flight control for airbreathing hypersonic vehicles [J]. International Journal of Control, 2014, 87(9): 1970-1984.

BU Xiangwei, WU Xiaoyan, MA Zhen, et al. Novel auxiliary error compensation design for the adaptive neural control of a constrained flexible air-breathing hypersonic vehicle [J]. Neurocomputing, 2016, 171: 313-324.

KOTHARE M V, BALAKRISHNAN V, MORARI M. Robust constrained model predictive control using linear matrix inequalities [J]. Automatica, 1996, 32(10): 1361-1379.

GAO Haiyan, CAI Yuanli. Nonlinear disturbance observer-based model predictive control for a generic hypersonic vehicle [J]. Proceedings of the Institution of Mechanical Engineers: Part I Journal of Systems and Control Engineering, 2016, 230(1): 3-12.

BUMROONGSRI P, KHEAWHOM S. An off-line robust MPC algorithm for uncertain polytopic discrete-time systems using polyhedral invariant sets [J]. Journal of Process Control, 2012, 22(6): 975-983.

王明昊, 刘刚, 赵鹏涛, 等. 多胞约束LPV系统多面体不变集RMPC算法 [J]. 控制与决策, 2013, 28(11): 1661-1666.

WANG Minghao, LIU Gang, ZHAO Pengtao, et al. RMPC algorithm for polytopic constrained LPV systems using polyhedral invariant sets [J]. Control and Decision, 2013, 28(11): 1661-1666.

WU Huaining, LIU Zhiyong, GUO Lei. Robust-gain fuzzy disturbance observer-based control design with adaptive bounding for a hypersonic vehicle [J]. IEEE Transactions on Fuzzy Systems, 2014, 22(6): 1401-1412.

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