Robust vibration control at critical resonant modes using indirect-driven self-sensing actuation in mechatronic...

Area of Science:

• Mechatronics
• Control Systems Engineering
• Materials Science (Piezoelectrics)

Background:

• Flexible structures in mechatronic systems often suffer from vibrations, impacting performance.
• Piezoelectric actuators offer precise control but require effective sensing for feedback.
• Existing self-sensing methods can have limitations in bandwidth and signal quality.

Purpose of the Study:

• To develop an improved indirect-driven self-sensing actuation circuit for robust vibration control.
• To enhance the quality and bandwidth of self-sensing strain signals.
• To demonstrate the effectiveness of the proposed scheme in a practical application.

Main Methods:

• An improved indirect-driven self-sensing actuation circuit was designed, functioning as a high-pass filter.
• An adaptive non-model-based control strategy was employed for vibration compensation.
• The proposed system was implemented and tested on a piezoelectric-actuated suspension in a dual-stage hard disk drive.

Main Results:

• The developed circuit provides superior self-sensing strain signals with wider bandwidth and higher signal-to-noise ratio.
• Significant vibration suppression was achieved: 50% at 5.4kHz and 75% at 21kHz.
• The proposed scheme outperformed conventional Proportional-Integral (PI) control in vibration reduction.

Conclusions:

• The improved self-sensing actuation circuit enables robust vibration control for flexible structures.
• The adaptive control strategy effectively compensates for structural vibrations using enhanced self-sensing signals.
• The practical implementation validates the proposed method's efficacy in high-performance mechatronic systems.