An artificial delay based robust guidance strategy for an interceptor with input saturation.

Area of Science:

• Aerospace Engineering
• Control Systems
• Robotics

Background:

• Interceptor guidance systems face challenges with time-energy efficiency, input saturation, and external disturbances.
• Existing methods often struggle to balance performance with robustness against uncertainties and target maneuvers.

Purpose of the Study:

• To propose a novel, time-energy efficient, and robust guidance strategy for a two-dimensional interceptor problem.
• To incorporate artificial time delay and address input saturation for enhanced guidance performance.
• To validate the strategy's effectiveness against maneuvering targets and system uncertainties.

Main Methods:

• Generated a near-optimal heading trajectory offline using Differential Evolution (DE).
• Developed a robust control law for online guidance, following the reference trajectory.
• Employed Lyapunov's method to affirm uniformly ultimately bounded (UUB) stability of the closed-loop system.

Main Results:

• The proposed guidance strategy demonstrated time-energy efficient interception.
• The system exhibited robustness against disturbances, uncertainties, and various target maneuvers (non-maneuvering, bank-to-bank, step maneuvers).
• Online application of the guidance strategy enhances its practical appeal.

Conclusions:

• The artificial time delay-based robust guidance strategy is effective for 2D interceptor problems.
• The method achieves a balance between time-energy efficiency, robustness, and stability.
• The strategy shows promise for real-world applications requiring high guidance accuracy under challenging conditions.