NDLI: Adaptive rate-dependent feedforward controller for hysteretic piezoelectric actuator

Content Provider	IEEE Xplore Digital Library
Author	Tan, U.X. Widjaja, F. Latt, W.T. Veluvolu, K.C. Shee, C.Y. Riviere, C.N. Ang, W.T.
Copyright Year	2008
Description	Author affiliation: Sch. of Mech. & Aerosp. Eng., Nanyang Technol. Univ., Singapore (Tan, U.X.; Widjaja, F.; Latt, W.T.; Veluvolu, K.C.; Shee, C.Y.)
Abstract	With the increasing popularity of actuators involving smart materials like piezoelectric, control of such materials becomes important. The existence of the inherent hysteretic behavior hinders the tracking accuracy of the actuators. To make matters worse, the hysteretic behavior changes with rate. One of the suggested ways is to have a feedforward controller to linearize the relationship between the input and output. Thus, the hysteretic behavior of the actuator must be first modeled by sensing the relationship between the input voltage and output displacement. Unfortunately, the hysteretic behavior is dependent on individual actuator and also environmental conditions like temperature. In this fast moving world, time is money and it is very costly to model the hysteresis regularly. In addition, the hysteretic behavior of the actuators also changes with age. Base on the studies done on the phenomena hysteretic behavior with rate, this paper proposes an adaptive rate-dependent feedforward controller with Prandtl-Ishlinskii (PI) hysteresis operators for piezoelectric actuators. This adaptive controller is achieved by adapting the coefficients to manipulate the weights of the play operators. Actual experiments are conducted to demonstrate the effectiveness of the adaptive controller.
Starting Page	787
Ending Page	792
File Size	352070
Page Count	6
File Format	PDF
ISBN	9781424416462
ISSN	10504729
DOI	10.1109/ROBOT.2008.4543301
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Programmable control Adaptive control Piezoelectric actuators Ceramics Piezoelectric materials Magnetic hysteresis Magnetic materials Polarization Voltage Conducting materials
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software

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