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Prescribed fast tracking control for flexible air-breathing hypersonic vehicles: An event-triggered case

Xingling Shao, Yi Shi, Wendong Zhang, Jiang Zhao

2021Chinese Journal of Aeronautics26 citationsDOIOpen Access PDF

Abstract

In this paper, a prescribed fast tracking control scheme is proposed for Flexible Air-breathing Hypersonic Vehicles (FAHV) subject to lumped disturbances and limited resources. To maintain tracking errors of velocity and altitude converge to a predefined region with a prescribed time and release the transient intense fluctuations encountered in classical Prescribed Performance Control (PPC) using a fast decaying rate, a tracking differentiator-based PPC is presented, where the reaching time and the maximum time differentiation of preselected envelopes can be regulated as a prior via fixing an acceleration factor, so that a guaranteed fast convergence speed can be realized with reduced oscillations. Besides, to avoid the excessive occupation of limited resources (energy and communication) and guarantee a remarkable tracking accuracy, switching event-triggered mechanisms are constructed for FAHV control realization, which provide a promising way to pursue a desired level of tracking performance with a low energy consumption. Subsequently, Uncertainty and Disturbance Estimators (UDE) and Sigmoid function-based Tracking Differentiators (STD) are employed to provide disturbance estimation and reference derivation with a low computational complexity. Finally, robust control laws are designed to compensate for the sampling error induced by event-triggered conditions, meanwhile Zeno phenomena can be effectively eliminated. The simulation results and comparisons validate the effectiveness of the proposed scheme.

Topics & Concepts

DifferentiatorControl theory (sociology)Hypersonic speedTracking (education)EstimatorComputer scienceTransient (computer programming)AccelerationTracking errorConvergence (economics)Energy consumptionEnergy (signal processing)Event (particle physics)Control engineeringControl (management)EngineeringMathematicsFilter (signal processing)Artificial intelligenceAerospace engineeringPedagogyComputer visionPsychologyClassical mechanicsElectrical engineeringStatisticsEconomic growthEconomicsQuantum mechanicsPhysicsOperating systemAdaptive Control of Nonlinear SystemsAdvanced Control Systems OptimizationStability and Control of Uncertain Systems
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