Velocity feedback control method of low-frequency electromagnetic vibration exciter based on Kalman filter estimation

Area of Science:

• Mechanical Engineering
• Control Systems
• Signal Processing

Background:

• Electromagnetic vibration exciters require improved low-frequency performance.
• Existing methods lack effective low-frequency vibration velocity detection for feedback control.
• High harmonic distortion limits the precision of vibration waveforms.

Purpose of the Study:

• To propose a novel low-frequency vibration velocity feedback control method.
• To reduce total harmonic distortion in vibration waveforms using Kalman filter estimation.
• To enhance the performance of electromagnetic vibration exciters.

Main Methods:

• Development of a low-frequency vibration velocity feedback control strategy.
• Utilizing Kalman filter estimation for accurate vibration velocity calculation from displacement data.
• Analysis of control system rationality within the exciter's velocity characteristic band.

Main Results:

• The proposed Kalman filter-based method accurately estimates vibration velocity.
• A velocity feedback control system effectively suppresses external disturbances.
• Experimental validation shows a 40% reduction in harmonic distortion, exceeding traditional methods by 20%.

Conclusions:

• The Kalman filter-based velocity feedback control is a superior method for improving electromagnetic vibration exciter performance.
• This approach effectively reduces harmonic distortion and enhances vibration waveform quality.
• The findings offer a significant advancement in low-frequency vibration control technology.