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Published on: October 1, 2019
Three-dimensional guidance law with precise control of attack time and constraints on attack angle
Zhanpeng Gao1, Wenjun Yi1, Jian Huang1
1National Key Lab of Transient Physics, Nanjing University of Science and Technology, Nanjing 210094, China.
This study introduces a novel guidance law for missile interception, enhancing accuracy against maneuvering targets. It enables coordinated strikes without communication, improving robustness in complex combat scenarios.
Area of Science:
- Aerospace Engineering
- Control Systems Theory
- Guidance, Navigation, and Control (GNC)
Background:
- Maneuvering targets pose significant challenges for missile guidance systems.
- Communication disruptions can hinder coordinated strike capabilities.
- Existing guidance laws may struggle with dynamic target changes and uncertainties.
Purpose of the Study:
- To develop a robust guidance law for precise strikes against maneuvering targets within specific time and angle constraints.
- To enable coordinated missile attacks even during communication disruptions.
- To reduce reliance on expensive seekers through predictive guidance.
Main Methods:
- Fractional Power Extended State Observer (FPESO) for accurate acceleration estimation.
- Nonlinear PID Sliding Mode Control (NPIDSMC) with an adjustable parameter for adaptability.
- FPESO-NPIDSMC guidance law integrating observer and controller.
- Simulation and Monte Carlo analysis for validation.
Main Results:
- FPESO accurately estimates target acceleration, mitigating system uncertainties.
- The FPESO-NPIDSMC guidance law achieves precise strikes within specified time and angle windows.
- Validated superiority in complex combat environments through simulations.
- Demonstrated capability for coordinated strikes without communication.
Conclusions:
- The FPESO-NPIDSMC guidance law offers a robust solution for intercepting maneuvering targets.
- It enhances cooperative attack capabilities by enabling communication-free coordinated strikes.
- Reduces interception costs by transforming the problem into predictive guidance.
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