Adaptive Feedforward Compensating Self-Sensing Method for Active Flutter Suppression

Area of Science:

• Materials Science
• Mechanical Engineering
• Control Systems

Background:

• Self-sensing piezoelectric actuators offer dual sensor/actuator functionality, valuable in various applications.
• Practical use faces challenges: precise capacitance matching in bridge circuits and unwanted local strain affecting performance.

Purpose of the Study:

• To propose and validate a feedforward compensation method for self-sensing piezoelectric actuators.
• To mitigate issues of capacitance mismatching and local strain in piezoelectric actuator circuits.
• To enhance the stability and performance of active vibration control systems.

Main Methods:

• A feedforward compensation tunnel was integrated into a piezoelectric self-sensing circuit.
• Steepest descent algorithms (time and frequency domains) were used to adjust compensation voltage gain.
• Experimental validation was performed using active vibration control in a wind tunnel setting.

Main Results:

• The proposed method significantly alleviated problems caused by capacitance mismatching and local strain.
• Experimental results demonstrated improved stability and performance in active vibration control.
• Comparison showed superior control performance with the compensated self-sensing actuation.

Conclusions:

• Feedforward compensation is an effective strategy for overcoming limitations in self-sensing piezoelectric actuators.
• The developed method enhances the reliability and efficiency of piezoelectric actuators in vibration control.
• This approach offers a robust solution for practical applications requiring precise control.