Robust partial integrated guidance and control for missiles via extended state observer

Area of Science:

• Control Systems Engineering
• Aerospace Engineering
• Nonlinear Dynamics

Background:

• Nonlinear systems often face challenges due to unmodeled dynamics and external disturbances.
• Existing control methods may struggle with simultaneous multiple uncertainties, impacting system performance.
• Partial Integrated Guidance and Control (PIGC) for missiles requires robust solutions against complex uncertainties.

Purpose of the Study:

• To propose a novel control strategy for nonlinear systems with multiple uncertainties.
• To apply this strategy to the Partial Integrated Guidance and Control (PIGC) design for missile systems.
• To enhance interception performance and robustness against uncertainties in missile guidance.

Main Methods:

• Development of a novel extended state observer (ESO) to estimate system uncertainties in real-time.
• Integration of the ESO with an adaptive sliding mode control (SMC) law.
• Mathematical proofs demonstrating finite-time estimation error convergence and control law convergence.

Main Results:

• The ESO successfully estimates multiple uncertainties, treating them as an extended state.
• The adaptive SMC law, informed by the ESO, is continuous and differentiable.
• Finite-time convergence of the ESO estimation error and the control system to a defined region is proven.
• Simulations on planar missile-target engagement show improved interception and robustness.

Conclusions:

• The proposed ESO-based adaptive SMC control strategy is effective for nonlinear systems with multiple uncertainties.
• The method significantly enhances missile interception performance.
• The control strategy demonstrates superior robustness against various system uncertainties.