Adaptive restricted trajectory tracking for a non-minimum phase hypersonic vehicle model

Fiorentini, Lisa; Serrani, Andrea

doi:10.1016/j.automatica.2012.04.006

Cited by 208 publications

(104 citation statements)

References 40 publications

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“…The control system of HFVs is sensitive to the changes of flight conditions and its physical or aerodynamic parameters since they are always flying in near space areas at a high Mach numbers. Although there are great amounts of research on HFVs, [1][2][3] it is still enormously worth to study control strategy for HFVs.…”

Section: Introductionmentioning

confidence: 99%

Adaptive fault tolerant control for hypersonic vehicle with external disturbance

Huang

2017

International Journal of Advanced Robotic Systems

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In this article, an adaptive fault tolerant control strategy is proposed to solve the trajectory tracking problem of a generic hypersonic vehicle subjected to actuator fault, external disturbance, and input saturation. The longitudinal model of generic hypersonic vehicle is divided into velocity subsystem and altitude subsystem, in which dynamic inversion and backstepping are applied, respectively, to track the desired trajectories. For the unknown maximum disturbance upper bound, actuator fault, and input saturation constraint, adaptive laws are proposed to estimate these information online. Finally, numeric simulation is conducted in the cruise phase for generic hypersonic vehicle. Simulation results show that the controllers designed in this article can make generic hypersonic vehicle track the desired trajectories in the presence of actuator fault, external disturbance, and input saturation.

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Section: Introductionmentioning

confidence: 99%

Adaptive fault tolerant control for hypersonic vehicle with external disturbance

Huang

2017

International Journal of Advanced Robotic Systems

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“…h(t f ) = 0 v(t f ) = free a(t f ) = free (11) where subscript \0" indicates the initial value, and the nal time, t f , is speci ed. The problem is now restated in the normalized form to obtain the normalized commanded acceleration,û, that minimizes the following performance index:…”

Section: Optimal Guidance Problemmentioning

confidence: 99%

“…Modern control theory and estimation are utilized to develop three-point guidance laws and trajectory tracking control strategies, such as feedback lineariza-tion [6], fuzzy-logic [7][8][9], robust [10], adaptive [11], variable-structure [12], linear model predictive control [13] and optimal control [14][15][16]. The genetic algorithm [17], ant colony optimization [18], and neural network [19] may also be used in the design and development of this class of guidance and control laws.…”

Section: Introductionmentioning

confidence: 99%

First-Order Optimal Line-of-Sight Guidance for Stationary Targets

Hesam

Hamid

2016

Scientia Iranica

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Abstract. In this paper, a closed-loop optimal line-of-sight guidance law for rst-order control systems is derived for stationary targets. The problem is solved for the onedimensional case using normalized equations to obtain normalized guidance gains and performance curves. Three sets of normalized equations are introduced and discussed using di erent normalizing factors. The performances of the guidance laws are compared in normalized forms with zero-lag optimal guidance and a rst-order optimal scheme with steady-state gains using a second-order control system. Normalized miss distance analysis shows that the miss distance of the rst-order guidance law is smaller than the two mentioned schemes for small total ight times.

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“…Air-breathing hypersonic vehicle (AHV) has attracted wide concern, because it offers a promising and economic access to near space [1,2]. The design of the flight control system is an important issue to ensure that the AHV can accomplish its intended task.…”

Section: Introductionmentioning

confidence: 99%

Constrained Adaptive Neural Control for Air-Breathing Hypersonic Vehicles without Backstepping

Tan

Lei

Wang

2018

Mathematical Problems in Engineering

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An adaptive neural control scheme without backstepping is proposed for the air-breathing hypersonic vehicle subject to input constraints. To estimate the unknown nonlinearity of velocity subsystem and altitude subsystem, two radial basis function neural networks (RBFNNs) are constructed. Since the complex backstepping design steps are not needed, the proposed control structure is quite concise and the problem of "explosion of terms" is avoided. Moreover, a novel nonlinear auxiliary system is constructed to solve the problem of input constraints. The advantage of the proposed auxiliary system is that its high-order form has good performance and the parameter tuning is relatively easy. Simulation results show that the designed controllers achieve stable tracking of reference commands with good performance.

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Adaptive restricted trajectory tracking for a non-minimum phase hypersonic vehicle model

Cited by 208 publications

References 40 publications

Adaptive fault tolerant control for hypersonic vehicle with external disturbance

Adaptive fault tolerant control for hypersonic vehicle with external disturbance

First-Order Optimal Line-of-Sight Guidance for Stationary Targets

Constrained Adaptive Neural Control for Air-Breathing Hypersonic Vehicles without Backstepping

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