Fuzzy Adaptive Zero-Error-Constrained Tracking Control for HFVs in the Presence of Multiple Unknown Control...

Area of Science:

• Aerospace Engineering
• Control Systems Theory

Background:

• Hypersonic flight vehicles (HFVs) face complex control challenges including unknown directions and asymmetric state constraints.
• Existing control methods struggle with simultaneous uncertainties and strict operational boundaries.

Purpose of the Study:

• To develop a robust control methodology for achieving zero-error constrained tracking in HFVs.
• To address challenges posed by unknown control directions and asymmetric flight state constraints.

Main Methods:

• Incorporation of novel Nussbaum functions to handle multiple unknown control directions and ensure integral boundedness.
• Utilization of fuzzy-logic systems (FLSs) for approximating model uncertainties.
• Adoption of asymmetric integral barrier Lyapunov functions (IBLFs) to manage asymmetric flight state constraints.

Main Results:

• Demonstrated convergence of velocity and altitude tracking errors to zero.
• Ensured boundedness of Nussbaum integral terms despite potential cancellations.
• Validated effectiveness in guaranteeing convergence, smoothness, and constraint satisfaction through simulations.

Conclusions:

• The proposed control methodology effectively achieves zero-error tracking for HFVs under challenging conditions.
• The integration of novel Nussbaum functions and IBLFs provides a robust solution for complex flight dynamics.
• The approach successfully handles unknown control directions and asymmetric constraints, enhancing HFV control performance.