Numerical simulations demonstrate improved performance in controlling roll stability of reentry vehicles, indicating effective handling of nonlinearities and constraints.
A barrier Lyapunov function-based command filtered output feedback controller is proposed for the roll control of moving-mass actuated reentry vehicles challenged by strong nonlinearities, state constraints, and unmeasurable states. First, a barrier Lyapunov function is constructed to guarantee strict adherence to the position and velocity constraints of the movable mass. Next, a state observer is designed to estimate the immeasurable states, while command filtering technology with a compensation mechanism is employed to circumvent the differential explosion problem in backstepping design. The stability of the closed-loop system and the boundedness of all signals are rigorously proven via Lyapunov stability theory. Finally, numerical simulations are conducted to demonstrate the performance of the proposed controller.
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Zheng et al. (2025) studied this question.
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