TY - GEN
T1 - Nonlinear hammerstein model identification of amplified piezoelectric actuators (APAs)
T2 - 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
AU - Saleem, Ashraf
AU - Mesbah, Mustafa
AU - Al-Ratout, Serein
N1 - Funding Information:
ACKNOWLEDGMENT This work was done under the project number (IG/ENG/ECED/15/01) which was funded from the internal grants of Sultan Qaboos University in Oman.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/8
Y1 - 2017/11/8
N2 - Actuators based on piezoelectric material have attracted much attention owing to their compact construction, large force generation, high precision, wide operating frequency range, fast response, and low power consumption. Their domain of applications is wide and keeps expanding. One of the mostly widely used types of these actuators is the amplified piezoelectric actuator (APA). APAs have been used in many control engineering applications such as vibration suppression and positioning. Their efficient use, however, requires a development of an accurate mathematical model. A number of nonlinear models were proposed in the literature. Among these models, Bounc-Wen (BW) model received a special interest due to its simplicity and its ability to model a wide range of hysterics behavior. This paper addresses some practical considerations that need to be addressed when using BW model to describe the dynamic behavior of APA. These issues include the selection of sampling frequency, the type of inputs used in parameter identification, and the parameter identification algorithms.
AB - Actuators based on piezoelectric material have attracted much attention owing to their compact construction, large force generation, high precision, wide operating frequency range, fast response, and low power consumption. Their domain of applications is wide and keeps expanding. One of the mostly widely used types of these actuators is the amplified piezoelectric actuator (APA). APAs have been used in many control engineering applications such as vibration suppression and positioning. Their efficient use, however, requires a development of an accurate mathematical model. A number of nonlinear models were proposed in the literature. Among these models, Bounc-Wen (BW) model received a special interest due to its simplicity and its ability to model a wide range of hysterics behavior. This paper addresses some practical considerations that need to be addressed when using BW model to describe the dynamic behavior of APA. These issues include the selection of sampling frequency, the type of inputs used in parameter identification, and the parameter identification algorithms.
KW - ARMA model
KW - Amplified piezoelectric actuators
KW - Bouc-wen hystersis model
KW - Hammerstien model
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U2 - 10.1109/CoDIT.2017.8102665
DO - 10.1109/CoDIT.2017.8102665
M3 - Conference contribution
AN - SCOPUS:85045429625
T3 - 2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
SP - 633
EP - 638
BT - 2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 5 April 2017 through 7 April 2017
ER -