Title :
Fractional order model identification for Electro-Active smart actuator
Author :
Yanmei Liu ; Dingyu Xue ; Zhen Chen ; Zhaohui Liu
Author_Institution :
Dept. of Autom., Shenyang Aerosp. Univ., Shenyang, China
Abstract :
Ion-exchange Polymer-Metal Composites known as a type of Electro-Active smart material has complex mechanism, and takes on nonlinear characteristic, which blocks its development and utilization. In this paper, a new model for electro-active smart actuator based on non-integer order models is proposed. An experimental setup has been realized to study the electro-active smart actuator non-integer behavior and an algorithm based on Marquardt of least squares recursive identification has been developed in order to identify a fractional order model of electro-active smart actuator, and the fractional order simulation model is designed comparing the integer order model. Simulation results demonstrate that the behavior of fractional order model is much better than the integer order model, and fractional order model of electro-active smart actuator can achieve better performance.
Keywords :
electroactive polymer actuators; intelligent actuators; least squares approximations; nonlinear estimation; recursive estimation; electroactive smart actuator; fractional order model identification; fractional order simulation model; ion exchange polymer-metal composites; least squares recursive identification; non-integer order model; nonlinear characteristic; Aerospace control; Aerospace engineering; Automation; Chirp; Educational institutions; Intelligent actuators; Intelligent control; fractional order; identification; nonlinear; simulation;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7053241