A novel non-uniform control vector parameterization approach with time grid refinement for flight level tracking...

Area of Science:

• Aerospace Engineering
• Control Systems
• Computational Mathematics

Background:

• High-quality control is crucial for aircraft autopilot systems.
• Existing methods may face challenges in optimizing flight control within safe aerodynamic envelopes.
• Improving flight level tracking accuracy and efficiency is a key objective.

Purpose of the Study:

• To develop an optimal control problem model for aircraft flight level tracking.
• To propose a novel non-uniform control vector parameterization (CVP) method with adaptive time grid refinement.
• To enhance control quality and reduce computational cost compared to existing methods.

Main Methods:

• Established an optimal control problem model incorporating safe aerodynamic envelopes.
• Introduced a non-uniform control vector parameterization (CVP) with time grid refinement.
• Utilized Hilbert-Huang transform (HHT) analysis for efficient, adaptive time grid generation.

Main Results:

• The proposed non-uniform CVP method achieved superior optimization accuracy and reduced computational cost.
• Fewer optimization parameters were required compared to uniform refinement CVP methods.
• Demonstrated improved control quality in flight level altitude tracking and minimum time cost problems.

Conclusions:

• The novel non-uniform CVP method with HHT-based adaptive time grid refinement offers significant advantages for aircraft autopilot systems.
• This approach effectively improves flight control accuracy and efficiency while lowering computational demands.
• The method provides a robust solution for optimizing aircraft flight control within aerodynamic constraints.