DocumentCode :
240638
Title :
Optimizing vibration control in a cantilever beam with piezoelectric patches
Author :
Mohammadi, Hamed ; Haris, Sallehuddin Mohamed
Author_Institution :
Dept. of Mech. & Mater. Eng., Univ. Kebangsaan Malaysia, Bangi, Malaysia
fYear :
2014
fDate :
3-5 Dec. 2014
Firstpage :
88
Lastpage :
93
Abstract :
In this work, the equation of motion of a cantilever beam with two piezoelectric patches, one acting as a sensor and the other as an actuator was first formulated, and the sensor induced voltage, representing the strain in the beam, was calculated. The beam governing equation was converted into a state space model and its response under active vibration control was studied through numerical simulations. Two types of control methods were used, velocity feedback control (VFC) and the Linear Quadratic Regulator (LQR). The effects of varying controller gains and weighting matrices on the beam vibration amplitude and settling time, as well as the induced voltage in the actuator were investigated. The LQR controller was found to be more effective than the VFC as the maximum induced actuator voltage was significantly lower. For the LQR controller weighting matrices Q and R, it was found that increasing Q reduces settling time and increases the actuator induced voltage, while increasing R, increases settling time. A calculation method for optimizing sensor placement and actuator length is also presented. The results indicate that the optimal actuator length is about 60% of the beam length.
Keywords :
beams (structures); cantilevers; feedback; linear quadratic control; numerical analysis; piezoelectric devices; sensor placement; state-space methods; velocity control; vibration control; LQR controller weighting matrices; VFC; active vibration control; beam governing equation; beam vibration amplitude; cantilever beam; linear quadratic regulator; numerical simulations; piezoelectric patches; sensor induced voltage; sensor placement; settling time; state space model; velocity feedback control; vibration control optimization; weighting matrices; Actuators; Equations; Mathematical model; Structural beams; Vibration control; Vibrations; Voltage control; Active vibration control; Actuator; LQR; Piezoelectric patch; Sensor; Smart material;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modelling, Identification & Control (ICMIC), 2014 Proceedings of the 6th International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/ICMIC.2014.7020733
Filename :
7020733
Link To Document :
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