Roll Angular Rate Measurement for High Spinning Projectiles Based on Redundant Gyroscope System.

Area of Science:

• Aerospace Engineering
• Mechanical Engineering
• Signal Processing

Background:

• Precision-guided munitions require accurate roll angular rate measurement for effective guidance.
• Current Micro-Electro-Mechanical System (MEMS) gyroscopes lack the precision needed for high-performance projectiles.
• Existing technologies face limitations in accurately measuring roll angular rates under dynamic flight conditions.

Purpose of the Study:

• To develop a novel method for enhancing the precision of roll angular rate measurement in projectiles.
• To address the limitations of current gyroscope technology in high-dynamic environments.
• To improve the guidance accuracy and efficiency of fire strikes through better angular rate estimation.

Main Methods:

• Established an output angular rate model for redundant gyroscope systems using the autoregressive integrated moving average (ARIMA) model.
• Improved the conventional random error model by incorporating the ARIMA model.
• Designed a Sage-Husa Adaptive Kalman Filter (SHAKF) algorithm for dynamic data fusion, capable of suppressing time-varying noise.

Main Results:

• The proposed optimization-based angular rate estimation (OBARS) method demonstrated superior performance in simulations and experiments.
• The method effectively improved angular rate accuracy for high-spinning projectiles.
• Validation confirmed the OBARS method outperforms traditional techniques in precision measurement.

Conclusions:

• The OBARS method provides a significant advancement in roll angular rate measurement for guided projectiles.
• The integration of ARIMA modeling and SHAKF offers robust noise suppression in dynamic flight conditions.
• This research contributes to the development of more accurate and efficient precision-guided munitions.