Adaptive internal model guidance law for weaving maneuvering target

Area of Science:

• Aerospace Engineering
• Control Systems Theory
• Robotics and Automation

Background:

• Missile guidance systems face challenges intercepting targets with complex weaving maneuvers.
• Existing guidance laws may struggle with the unpredictable accelerations of such targets.

Purpose of the Study:

• To develop an adaptive internal model guidance law for terminal phase interception of weaving maneuvering targets in 3D space.
• To ensure robust guidance system performance against target maneuvers.

Main Methods:

• The proposed guidance law utilizes disturbance rejection theory, treating target accelerations as external disturbances.
• It comprises a nominal part based on feedback linearization for stability and an adaptive part using the internal model principle for online disturbance signal recovery.
• Stability analyses and theoretical proofs are provided.

Main Results:

• The adaptive guidance law ensures system stability and satisfactory transient and steady-state performance.
• It effectively rejects target maneuvers asymptotically.
• Numerical simulations demonstrate the proposed guidance law's effectiveness.

Conclusions:

• The adaptive internal model guidance law offers a robust solution for intercepting weaving maneuvering targets.
• The method provides reliable performance in challenging engagement scenarios.