Backstepping Sliding Mode Control for Radar Seeker Servo System Considering Guidance and Control System

Area of Science:

• Aerospace Engineering
• Control Systems Theory
• Robotics

Background:

• Missile guidance and control systems require high precision and robustness.
• Disturbances in projectile motion can significantly degrade performance.
• Existing methods often struggle with real-time state estimation and chattering.

Purpose of the Study:

• To design and validate an integrated missile seeker servo, guidance, and control system (SGCS).
• To improve tracking precision and robustness against projectile motion disturbances.
• To develop a method for real-time state estimation and disturbance compensation.

Main Methods:

• A complete SGCS model was developed.
• A high-order tracking differentiator (HTD) was employed for real-time state estimation.
• Backstepping sliding-mode control was utilized for precision and robustness.
• An adaptive radial basis function neural network (RBFNN) was proposed for disturbance compensation.

Main Results:

• The integrated SGCS model was successfully proposed.
• HTD ensured the feasibility of the control algorithm.
• Backstepping sliding-mode control guaranteed tracking precision and robustness.
• Adaptive RBFNN effectively compensated for disturbances and eliminated chattering.
• Lyapunov stability theory rigorously proved the boundedness of all signals.
• Simulations demonstrated excellent line of sight angle (LOSA)-tracking performance and validated the method's effectiveness.

Conclusions:

• The proposed integrated SGCS with HTD, backstepping sliding-mode control, and adaptive RBFNN offers a robust and precise solution for missile guidance.
• The adaptive RBFNN effectively handles projectile motion disturbances, enhancing system performance.
• The method is rigorously validated through theoretical proofs and extensive simulations.