Adaptive Multivariable Reentry Attitude Control of RLV With Prescribed Performance
Bailing Tian, Zhiyu Li, Xiaopeng Zhao, Qun Zong
Abstract
A novel adaptive multivariable control algorithm is proposed for reusable launch vehicle (RLV) subject to bounded but unknown disturbances. In the proposed algorithm, a time-varying nonoverestimated adaptive gain is designed based on the prescribed performance function. The proposed method is very simple and easy implementation, and the Lyapunov-based technique is utilized to guarantee that the reentry attitude tracking errors are confined in some prescribed regions independent of the upper bound of the disturbances. Finally, the efficiency of the developed algorithm is illustrated by simulation results.
Topics & Concepts
ReentryMultivariable calculusControl theory (sociology)Bounded functionLyapunov functionComputer scienceAdaptive controlTracking (education)Upper and lower boundsSimple (philosophy)Control (management)Control engineeringEngineeringMathematicsNonlinear systemArtificial intelligenceMedicinePedagogyMathematical analysisCardiologyQuantum mechanicsPhysicsEpistemologyPsychologyPhilosophyAdaptive Control of Nonlinear SystemsAdvanced Control Systems OptimizationStability and Control of Uncertain Systems