Control Strategies for Hypersonic Flight Vehicles
Summary
Hypersonic flight vehicles operate at speeds exceeding Mach 5, where aerodynamic heating, rapid dynamics and severe nonlinearities pose significant challenges for guidance and control. Strategies to ensure stability, robustness and precision typically combine advanced methods such as adaptive control, sliding-mode techniques, model predictive approaches and neural-network augmentation. Adaptive schemes adjust controller parameters online to cope with uncertainties and external disturbances, while sliding-mode control offers inherent robustness by forcing system trajectories onto a predefined sliding surface. Modern approaches incorporate finite-time or fixed-time convergence to guarantee rapid error attenuation within prescribed bounds, essential for manoeuvres in high-speed regimes. Disturbance observers and active disturbance rejection control are employed to estimate and compensate for unmodelled aerodynamic forces and sensor or actuator faults, thereby enhancing fault tolerance and mission reliability. Recent advances leverage optimisation-based frameworks, such as adaptive dynamic programming, to achieve near-optimal performance and to manage constraints on control surfaces and input saturations. Ultimately, the integration of these methods underlines a trend towards low-computational and low-complexity solutions that meet the stringent real-time requirements of hypersonic flight.
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Control Strategies for Hypersonic Flight Vehicles publication trend
The graph below shows the total number of articles in control strategies for hypersonic flight vehicles across all publications each year (not limited to Nature Index journals).
Technical terms
Backstepping control: A recursive design method that stabilises nonlinear systems by constructing virtual control laws for subsystems.
Sliding-mode control: A robust control technique that drives system states to a sliding surface and maintains motion along it despite uncertainties.
Adaptive dynamic programming: An optimisation-based approach that iteratively approximates the optimal control policy for nonlinear systems.
Extended state observer: An estimator that reconstructs both system states and aggregated disturbances for compensation purposes.
Active disturbance rejection control: A control strategy that actively estimates and cancels disturbances without requiring an accurate model.
Fixed-time stability: A property ensuring that tracking errors converge to a neighbourhood of zero within a prescribed finite duration regardless of initial conditions.
References
- Adaptive dynamic programing design for the neural control of hypersonic flight vehicles. Journal of the Franklin Institute (2021).
- Finite-Time Extended State Observer-Based Fixed-Time Attitude Control for Hypersonic Vehicles. Mathematics (2022).
- Active Fault-Tolerant Control for Near-Space Hypersonic Vehicles. Aerospace (2022).
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