Fuzzy guaranteed cost tracking control for a flexible air-breathing hypersonic vehicle

Hu, Xiaoxiang; Wu, Ligang; Hu, Chaofang; Gao, Huijun

doi:10.1049/iet-cta.2011.0065

Cited by 92 publications

(62 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this case, nonlinear control design methods are introduced for the control of HFVs. In the study of Hu et al, 9 Takagi-Sugeno (T-S) fuzzy approach is utilized for modeling and control of HFVs, and then, a fuzzy guaranteed cost control is proposed. In the work of Xu et al, 10 neural network is also utilized to approach the nonlinear dynamics of HFVs.…”

Section: Introductionmentioning

confidence: 99%

Adaptive variable structure control of input delay non-minimum phase hypersonic flight vehicles

Huang

Yan

2017

International Journal of Advanced Robotic Systems

View full text Add to dashboard Cite

An adaptive variable structure control strategy is proposed for the output tracking control of input delay non-minimum hypersonic flight vehicles. The problem is challenging because of the complex nonlinearity of hypersonic flight vehicles and the existence of input delay. The nonlinear model of hypersonic flight vehicles is partially linearized, and a state tracking model is constructed based on the ideal internal dynamics of hypersonic flight vehicles. A filtered tracking error is introduced to handle the input delay. A variable structure control strategy is proposed for the stability of filtered tracking error system, and an adaptive law is established for the unknown perturbations. Finally, the effectiveness of the proposed control method is shown by the simulation results.

show abstract

Section: Introductionmentioning

confidence: 99%

Adaptive variable structure control of input delay non-minimum phase hypersonic flight vehicles

Huang

Yan

2017

International Journal of Advanced Robotic Systems

View full text Add to dashboard Cite

show abstract

“…The existing literature has done a lot of research on the guidance and control problem, and applied so many theory on it. For example, optimal control [3], sliding mode control [4], backstepping [5] ,dynamic inversion [6], nonlinear control methods, as well as Fuzzy control [7] , predictive control [8] and neural network [9] and other modern control methods. But most of them only focus on one side of the guidance and control problem, this article tries to solve them together.…”

Section: Introductionmentioning

confidence: 99%

Partial Integrated Guidance and Control Design for Hypersonic Vehicle in Dive Phase

Liu¹,

Chen²,

Wang³

2017

Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

View full text Add to dashboard Cite

Abstract. Considering the potential unstable problem using Euler angle, the quaternion is used to take its place in proposed method. What is more, A partial integrated guidance control (PIGC) model is derived based on six-degree-freedom model to solve the guidance and control problems of hypersonic vehicle in dive phase, the desired body rates is calculated in the outer loop as virtual control signals by making use of the information of the state of vehicle and the relative motion between vehicle and target, and the fin deflection signals is obtained in inner loop by using the sliding mode controller to track the body rate commands. And the results of the simulation demonstrate the effectiveness of the proposed method.

show abstract

“…Recently, some fuzzy control schemes have been proposed for FAHV in the study by Hu et al 18 and Hu and Liu. 19 Hu et al 18 have proposed a linear matrix inequality-based approach of designing a fuzzy guaranteed cost output tracking controller for the FAHV. An adaptive fuzzy control strategy based on dynamic surface control is proposed for hypersonic vehicle with uncertain parameters and external disturbances, 19 and the FLSs are used to approximate the uncertainties in the model including uncertain terms and gains.…”

Section: Introductionmentioning

confidence: 99%

Adaptive fuzzy tracking control for a constrained flexible air-breathing hypersonic vehicle based on actuator compensation

Wang

et al. 2016

International Journal of Advanced Robotic Systems

View full text Add to dashboard Cite

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.

show abstract

Fuzzy guaranteed cost tracking control for a flexible air-breathing hypersonic vehicle

Cited by 92 publications

References 29 publications

Adaptive variable structure control of input delay non-minimum phase hypersonic flight vehicles

Adaptive variable structure control of input delay non-minimum phase hypersonic flight vehicles

Partial Integrated Guidance and Control Design for Hypersonic Vehicle in Dive Phase

Adaptive fuzzy tracking control for a constrained flexible air-breathing hypersonic vehicle based on actuator compensation

Contact Info

Product

Resources

About