Abstract
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.
Highlights
Flexible air-breathing hypersonic vehicles (FAHVs) are crucial because they may represent a more cost-efficient way to make access to space routine or even make the space travel routine and intercontinental travel as easy as intercity travel.[1,2,3] A key issue in making hypersonic vehicles feasible and efficient is the flight control design.[4]
As shown in the work of Marrison and Stengel,[8] the robust control of FAHV is studied by introducing a linear quadratic regulator (LQR) with stochastic robustness analysis
An adaptive fuzzy control strategy based on dynamic surface control is proposed for hypersonic vehicle with uncertain parameters and external disturbances,[19] and the fuzzy logic systems (FLSs) are used to approximate the uncertainties in the model including uncertain terms and gains
Summary
Flexible air-breathing hypersonic vehicles (FAHVs) are crucial because they may represent a more cost-efficient way to make access to space routine or even make the space travel routine and intercontinental travel as easy as intercity travel.[1,2,3] A key issue in making hypersonic vehicles feasible and efficient is the flight control design.[4]. The fuzzy logic systems (FLSs)[16,17] have been used proverbially to approximate the unknown nonlinear functions because of the better approximation ability, and it is validated that FLSs are very effective methods It is a promising technique for approximating the dynamic model of FAHV by fuzzy systems and designing a fuzzy controller for achieving the desirable performances. 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. Motivated by the results of the previous studies, an adaptive fuzzy tracking control approach is addressed for the longitudinal dynamical model of FAHV with input constraints. Define the estimation error #~V 1⁄4#^V À #V and choose the following Lyapunov function candidate
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
