A modular adaptive control design with ISS analysis for nonminimum phase hypersonic vehicle models

Summary Air‐breathing hypersonic vehicles typically exhibit a nonminimum phase behavior when altitude is controlled via lift generation. This phenomenon prohibits the use of classical inversion‐based control techniques. Dynamic models of these vehicles are also subject to parametric uncertainties an...

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Bibliographic Details
Published in:International journal of adaptive control and signal processing 2018-06, Vol.32 (6), p.816-838
Main Authors: Mannava, A., Serrani, A.
Format: Article
Language:English
Subjects:
Adaptive control
Airframes
Airspeed
Altitude
Asymptotic methods
Breathing
Computer simulation
Dynamic models
Fuselages
Hypersonic vehicles
input‐to‐state stability
nonminimum phase systems
Parameter estimation
Pitching moments
Uncertainty
Vehicles
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Summary:Summary Air‐breathing hypersonic vehicles typically exhibit a nonminimum phase behavior when altitude is controlled via lift generation. This phenomenon prohibits the use of classical inversion‐based control techniques. Dynamic models of these vehicles are also subject to parametric uncertainties and unmodeled dynamics related to flexible effects of the fuselage. In this paper, we present a modular adaptive control method that achieves asymptotic setpoint tracking in both airspeed and altitude using thrust and elevator deflection as the only control inputs for a generic longitudinal model of a hypersonic cruise. The nonminimum phase problem is overcome through output redefinition, with altitude controlled by pitching moment. The internal dynamics, flight path angle, and altitude are then stabilized by saturating the interconnections and exploiting local stability properties. A new technique for the use of saturation functions in error coordinate is presented. The adaptive controller for altitude uses a pitch rate observer combined with projection. This control augmentation decouples the parameter estimation errors from internal dynamics, allowing for the use of small‐gain arguments. Simulation results from a vehicle model with flexible effects and parametric uncertainty are included to demonstrate control effectiveness.
ISSN:0890-6327
1099-1115
DOI:10.1002/acs.2869