Abstract
In general, the evasion task requires the hypersonic vehicles (HSVs) to quickly complete the attitude maneuver in a short time. Moreover, the rapid variation of the flight modes often induces the structural and parametric uncertainties as well as the highly dynamic disturbances of the HSVs. The peculiar and complex characteristics of the evasion process make it difficult to design the evasion-faced flight control systems. In this work, we investigate the fast adaptive control design problem for the generic HSVs under the evasion task. By introducing several especial nonlinear functional vectors and properly designing the adaptive laws, the high dynamic disturbances and uncertainties can be suppressed. To deal with the completed unknown parts of the structural uncertainties and aerodynamic uncertainties caused by evasion maneuver, two radial basis function neural networks (RBFNNs) are introduced as real-time approximators. Furthermore, to improve the response speed of the flight control system, a super-twisting (STW) algorithm-based predictor is used as a feed-forward term of the controller. Consequently, a novel evasion-faced fast adaptive feed-forward control structure has been established for the HSVs. It has been proven that all the signals of the closed-loop system are bounded with satisfactory tracking velocity. Finally, the simulation experiment has been set up to show the effectiveness and advantages of the proposed control method.
Highlights
Hypersonic vehicle has been an active issue for several years due to its splendid maneuverability, strong penetration ability, and fast reaction ability
Many methods have been applied to the design of hypersonic vehicle controllers, including dynamic inverse method [6], sliding mode control method [7], active disturbance rejection control method [8], back-stepping control, [9] and adaptive control method [4]
In [11], a dynamic inverse control method has been proposed for the hypersonic vehicles (HSVs), for the purpose of suppressing the intrinsic nonlinear characteristics existing in the HSV system
Summary
Hypersonic vehicle has been an active issue for several years due to its splendid maneuverability, strong penetration ability, and fast reaction ability. Senll et al proposed a dynamic inverse control method for the nonlinear and strong coupling characteristics of the aircraft during super-maneuvering at a high angle of attack [10]. By proposing a sliding mode differentiator, a novel robust back-stepping control scheme has been constructed for the longitudinal dynamics of HSV, eliminating the problem of explosion of terms [18]. In [13], a new attitude control algorithm for hypersonic vehicle is proposed by applying fuzzy design to adaptive sliding mode control algorithm. Erefore, this paper focuses on the evasion-faced fast adaptive attitude control design problem of the HSVs. Several nonlinear function vectors have been utilized and the high dynamic disturbances and uncertainties can be handled. (iii) With the aid of the nonlinear adaptive method and the RBFNNs, the highly dynamic disturbances and unknown uncertainties caused by evasion large maneuver can be effectively suppressed
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