A fuzzy wavelet neural network-based approach to hypersonic flight vehicle direct nonaffine hybrid control

Bu, Xiangwei; Lei, Humin

doi:10.1007/s11071-018-4447-z

Cited by 31 publications

(25 citation statements)

References 25 publications

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“…It is worth noting that the vehicle must be regarded as a flexible structure since the specific slender geometries and light structural weights cause significant vibration . There exist strong interactions between the aerodynamic and propulsive effects, which makes the characteristics of aerodynamics inconstant and difficult to be measured and estimated with varying flight conditions . As a result, significant uncertainties affect the vehicle dynamic model and vehicles of this kind are notoriously difficult systems to control…”

Section: Introductionmentioning

confidence: 99%

A robust constrained control approach for flexible air‐breathing hypersonic vehicles

Wei

2020

Intl J Robust & Nonlinear

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This article investigates the robust adaptive control system design for the longitudinal dynamics of a flexible air-breathing hypersonic vehicle (FAHV) subject to parametric uncertainties and control input constraints. A combination of back-stepping and nonlinear disturbance observer (NDO) is utilized for exploiting an adaptive output-feedback controller to provide robust tracking of velocity and altitude reference trajectories in the presence of flexible effects and system uncertainties. The dynamic surface control is introduced to solve the problem of "explosion of terms." A new NDO is developed to guarantee the proposed controller's disturbance attenuation ability and to performance robustness against uncertain aerodynamic coefficients. To deal with the problem of actuator saturation, a novel auxiliary system is exploited to compensate the desired control laws.The stability of the presented NDO and controller is analyzed. Simulation results are given to demonstrate the effectiveness of the presented control strategy. K E Y W O R D Sback-stepping, control input constraints, dynamic surface control, flexible air-breathing hypersonic vehicle (FAHV), nonlinear disturbance observer (NDO), parametric uncertainties 2752

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Section: Introductionmentioning

confidence: 99%

A robust constrained control approach for flexible air‐breathing hypersonic vehicles

Wei

2020

Intl J Robust & Nonlinear

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“…In recent years, multisensor deployment has been widely used in military reconnaissance [1], environmental monitoring [2], explosion-proof, disaster relief [3], and hypersonic flight vehicle detection [4,5], but it is difficult to achieve the coverage requirements of monitoring areas, so appropriate deployment methods should be adopted to meet the application needs.…”

Section: Introductionmentioning

confidence: 99%

A Sensor Deployment Approach Using Improved Virtual Force Algorithm Based on Area Intensity for Multisensor Networks

Xie

Wei

Huang

et al. 2019

Mathematical Problems in Engineering

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Sensor deployment is one of the major concerns in multisensor networks. This paper proposes a sensor deployment approach using improved virtual force algorithm based on area intensity for multisensor networks to realize the optimal deployment of multisensor and obtain better coverage effect. Due to the real-time sensor detection model, the algorithm uses the intensity of sensor area to select the optimal deployment distance. In order to verify the effectiveness of this algorithm to improve coverage quality, VFA and PSOA are selected for comparative analysis. The simulation results show that the algorithm can achieve global coverage optimization better and improve the performance of virtual force algorithm. It avoids the unstable coverage caused by the large amount of computation, slow convergence speed, and easily falling into local optimum, which provides a new idea for multisensor deployment.

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“…Noticing that the robustness of the designed controllers is closely related to the NDO, an novel NDO based on hyperbolic sine function is investigated and the robustness is enhanced [12]. Moreover, much concern has been on the intelligent controls such as the fuzzy logical system (FLS) [13][14][15] and the neural network (NN) [16,17]. The minimal learning parameter (MLP) scheme [13,14,16] and the composite learning-based parameter adaptive law [15,17] are constructed to update the FLS/NN weights.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, much concern has been on the intelligent controls such as the fuzzy logical system (FLS) [13][14][15] and the neural network (NN) [16,17]. The minimal learning parameter (MLP) scheme [13,14,16] and the composite learning-based parameter adaptive law [15,17] are constructed to update the FLS/NN weights. By estimating the model uncertainty accurately and compensating for the controllers, the robustness of the proposed control scheme is ensured.…”

Section: Introductionmentioning

confidence: 99%

“…However, the expression of the final actual controller becomes complex with a large number of state variables and design parameters. Motivated by the above studies [13,14,16,17], the radial basis function neural networks (RBFNNs) with MLP algorithm are constructed to approximate the model uncertainty. Different from the previous studies, the control scheme without backstepping is proposed by introducing the high-order differentiator.…”

Section: Introductionmentioning

confidence: 99%

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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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A fuzzy wavelet neural network-based approach to hypersonic flight vehicle direct nonaffine hybrid control

Cited by 31 publications

References 25 publications

A robust constrained control approach for flexible air‐breathing hypersonic vehicles

A robust constrained control approach for flexible air‐breathing hypersonic vehicles

A Sensor Deployment Approach Using Improved Virtual Force Algorithm Based on Area Intensity for Multisensor Networks

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

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