Intelligent Control of Flexible Hypersonic Flight Dynamics With Input Dead Zone Using Singular Perturbation...

Area of Science:

• Aerospace Engineering
• Control Systems Theory
• Nonlinear Dynamics

Background:

• Hypersonic flight vehicles exhibit complex longitudinal dynamics, influenced by flexible structures and input dead zones.
• Traditional control methods struggle with the coupled rigid-elastic dynamics and uncertainties inherent in these vehicles.
• Addressing time-scale separation and unknown nonlinearities is critical for robust flight control.

Purpose of the Study:

• To develop a robust intelligent control strategy for the longitudinal dynamics of flexible hypersonic flight vehicles.
• To effectively manage system nonlinearities and input dead zones.
• To ensure the stability and accurate tracking performance of the flight vehicle.

Main Methods:

• Singular perturbation decomposition to separate slow and fast dynamics.
• Robust neural control with a switching mechanism for slow dynamics.
• Adaptive estimation for time-varying control gains due to input dead zones.
• Sliding mode control for stabilizing fast dynamics (elastic modes).

Main Results:

• The proposed control combines robust design and neural learning for slow dynamics.
• Adaptive estimation successfully handles time-varying control gains.
• Sliding mode control ensures stability and convergence of elastic modes.
• Lyapunov analysis confirms overall system stability with bounded tracking errors.

Conclusions:

• The developed robust intelligent control effectively manages the longitudinal dynamics of flexible hypersonic vehicles.
• The singular perturbation approach combined with neural and sliding mode control offers a viable solution for complex flight dynamics.
• Simulation results validate the proposed control strategy's effectiveness and robustness.