Wavelet-Based Identification for Spinning Projectile with Gasodynamic Control Aerodynamic Coefficients Determination.

Area of Science:

• Aerospace Engineering
• Control Systems
• Signal Processing

Background:

• Spinning projectiles with gasodynamic engines require accurate aerodynamic modeling for effective control.
• System identification techniques are crucial for determining missile dynamics.
• Passive identification methods are desirable as they do not require special experimental setups.

Purpose of the Study:

• To identify the aerodynamic coefficients of a spinning projectile controlled by gasodynamic engines.
• To compare the effectiveness of wavelet domain versus time domain analysis for aerodynamic coefficient identification.
• To evaluate the performance of these methods under both noise-free and noisy conditions.

Main Methods:

• A missile model was developed based on Newton's laws of motion.
• Aerodynamic coefficients were identified using the maximum likelihood principle.
• Analysis was conducted in both the wavelet and time domains.
• Identification was performed in passive mode without dedicated system identification experiments.

Main Results:

• In noise-free conditions, both wavelet and time domain methods provided highly accurate aerodynamic coefficient estimates.
• When noise was present, wavelet-based estimates showed a slight accuracy decrease but remained very accurate.
• Time domain estimates exhibited significant inaccuracy in the presence of noise.

Conclusions:

• Wavelet domain analysis offers a robust and accurate method for identifying aerodynamic coefficients of spinning projectiles, even with noisy sensor data.
• Passive system identification in the wavelet domain is a viable approach for missile control systems.
• The wavelet-based approach demonstrates superior performance compared to traditional time domain methods when dealing with real-world, noisy data.