Robust Adaptive Tracking Control for Hypersonic Vehicle Based on Interval Type-2 Fuzzy Logic System and Small-Gain...

Area of Science:

• Aerospace Engineering
• Control Systems Engineering
• Computational Intelligence

Background:

• Hypersonic vehicles require advanced control systems for stable cruise flight.
• Uncertainties and disturbances pose significant challenges to traditional control methods.
• Interval Type-2 Fuzzy Logic Systems (IT2-FLS) offer enhanced robustness in handling uncertainties.

Purpose of the Study:

• To develop a novel robust adaptive tracking control method for hypersonic vehicles.
• To address parametric uncertainties and matching disturbances during cruise flight.
• To reduce computational and storage burdens compared to existing methods.

Main Methods:

• Input-output linearization to decompose the vehicle model into uncertain subsystems.
• Approximation of unavailable model information using interval type-2 Takagi-Sugeno-Kang fuzzy logic systems (IT2-TSK-FLS).
• Application of the small-gain approach to construct composite feedback and derive the control law.

Main Results:

• All signals in the closed-loop system are proven to be uniformly ultimately bounded (UUB).
• The proposed control law utilizes only two adaptive parameters, significantly reducing computational load.
• Effectiveness demonstrated through comparative simulations against complex uncertainties.

Conclusions:

• The novel IT2-FLS-based robust adaptive tracking control is effective for hypersonic vehicles.
• The method offers superior performance and efficiency over conventional minimal-learning-parameter (MLP) approaches.
• The control strategy successfully manages complex uncertainties in hypersonic flight.