Novel anti-saturation robust controller for flexible air-breathing hypersonic vehicle with actuator constraints

2020 ◽  
Vol 99 ◽  
pp. 95-109
Author(s):  
Yibo Ding ◽  
Xiaogang Wang ◽  
Yuliang Bai ◽  
Naigang Cui
2016 ◽  
Vol 13 (6) ◽  
pp. 172988141667111 ◽  
Author(s):  
Peng Fei Wang ◽  
Jie Wang ◽  
Xiang Wei Bu ◽  
Ying Jie Jia

The design of an adaptive fuzzy tracking control for a flexible air-breathing hypersonic vehicle with actuator constraints is discussed. Based on functional decomposition methodology, velocity and altitude controllers are designed. Fuzzy logic systems are applied to approximate the lumped uncertainty of each subsystem of air-breathing hypersonic vehicle model. Every controllers contain only one adaptive parameter that needs to be updated online with a minimal-learning-parameter scheme. The back-stepping design is not demanded by converting the altitude subsystem into the normal output-feedback formulation, which predigests the design of a controller. The special contribution is that novel auxiliary systems are developed to compensate both the tracking errors and desired control laws, based on which the explored controller can still provide effective tracking of velocity and altitude commands when the inputs are saturated. Finally, reference trajectory tracking simulation shows the effectiveness of the proposed method in its application to air-breathing hypersonic vehicle control.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xing He ◽  
Wei Jiang ◽  
Caisheng Jiang

This paper focuses on the linear parameter varying (LPV) modeling and controller design for a flexible air-breathing hypersonic vehicle (AHV). Firstly, by selecting the measurable altitude and velocity as gain-scheduled variables, the original longitudinal nonlinear model for AHV is transformed into the LPV model via average gridding division, vertex trimming, Jacobian linearization, and multiple linear regression within the entire flight envelope. Secondly, using the tensor product model transformation method, the obtained LPV model is converted into the polytopic LPV model via high-order singular value decomposition (HOSVD). Third, the validity and applicability of the HOSVD-based LPV model are further demonstrated by designing a robust controller for command tracking control during maneuvering flight over a large envelope.


Author(s):  
Yu Ma ◽  
Yuanli Cai ◽  
Zhenhua Yu

In this paper, a novel constrained nonsingular fast terminal sliding mode control scheme based on adaptive neural network disturbance observer is proposed for a flexible air-breathing hypersonic vehicle in the presence of diverse disturbances and actuator constraints. Firstly, velocity and altitude subsystems in the strict feedback formulations are obtained by decomposing the longitudinal dynamics of flexible air-breathing hypersonic vehicle, while uncertainties with regard to flexible effects, aerodynamic parameter uncertainties, modeling errors, and external disturbances are formed as the lumped disturbances which are excellently estimated by the proposed adaptive neural network disturbance observer with the adaptive regulation laws of weight matrices. Then based on the nonsingular fast terminal sliding mode control, the proposed scheme integrated with adaptive neural network disturbance observer is developed to design the controllers with nonsingularity and fast convergent rate in order to provide robust and fast tracking performance of velocity and altitude. Furthermore, to tackle the saturation effects caused by the constraints of actuators, the auxiliary systems constructed in the proposed scheme are conducted to compensate the desired controllers timely. Lyapunov stability analyses prove that the stable tracking errors of velocity and altitude are bounded with the sufficiently small regions around zero even when flexible air-breathing hypersonic vehicle is subject to lumped disturbances and actuator constraints. Finally, the contrastive simulation results demonstrate that the proposed scheme provides the superior tracking performance and the effectiveness in tackling actuator constraints and counteracting lumped disturbances.


2005 ◽  
Author(s):  
Kevin P. Groves ◽  
Andrea Serrani ◽  
Stephen Yurkovich ◽  
Michael A. Bolender ◽  
David B. Doman

2011 ◽  
Vol 128-129 ◽  
pp. 270-275
Author(s):  
Zhi Gao Feng

This paper describes a robust adaptive controller based on specified region pole assignment for flexible hypersonic vehicle. The dynamic model of air-breathing hypersonic vehicle retains features including flexible effects, non-minimum phase behavior, model uncertainties, and strong couplings between flight dynamic and engine. To track velocity and altitude commands, robust controller based on specified region pole assignment is used to make unstable modes of open-loop system stable and guarantee dynamic performance of attitude. Meanwhile adaptive controller is proposed to solve tracking problems when existing control failures or saturation. The simulation results demonstrate that the proposed controller achieves excellent dynamic performance while the engine operates normally.


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