Guidance laws with input saturation and nonlinear robust H∞ observers

Area of Science:

• Aerospace Engineering
• Control Theory
• Robotics

Background:

• Maneuvering target interception is challenging due to unpredictable motion and system limitations.
• Input saturation and accurate state estimation are critical for guidance system performance.

Purpose of the Study:

• To develop a novel guidance law for robust interception of maneuvering targets.
• To address challenges of input saturation and line-of-sight rate estimation.

Main Methods:

• A three-dimensional guidance law based on input-to-state stability (ISS) and a dead zone operator model.
• Nonlinear robust H∞ filtering for estimating the line-of-sight (LOS) rate.
• Simultaneous consideration of input saturation and system stability.

Main Results:

• Theoretical guarantee of global input-to-state stability.
• Effective estimation of the line-of-sight rate using H∞ filtering.
• Demonstrated effectiveness of the proposed guidance approach through simulations.

Conclusions:

• The novel ISS-based guidance law effectively handles input saturation for maneuvering target interception.
• Nonlinear robust H∞ filtering provides accurate LOS rate estimation, crucial for practical guidance systems.
• The combined approach ensures system stability and robust tracking performance.