DocumentCode
2242805
Title
A nonlinear, control-oriented model for ionic polymer-metal composite actuators
Author
Chen, Zheng ; Hedgepeth, Dawn Rochelle ; Tan, Xiaobo
Author_Institution
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
fYear
2008
fDate
9-11 Dec. 2008
Firstpage
1851
Lastpage
1856
Abstract
Ionic polymer-metal composites (IPMCs) form an important category of electroactive polymers and have many potential applications in biomedical, robotic and micro/nano manipulation systems. In this paper, a nonlinear, control-oriented model is proposed for IPMC actuators. A key component in the proposed model is the nonlinear capacitance of IPMC. A nonlinear partial differential equation (PDE), which can capture the fundamental physics in IPMC, is fully considered in the derivation of nonlinear capacitance. A systems perspective is taken to get the nonlinear mapping from the voltage to the induced charge by analytically solving the nonlinear PDE at the steady state when a step voltage is applied. The nonlinear capacitance is incorporated into the circuit model, which includes additionally the pseudocapacitance due to the electrochemical adsorption process, the ion diffusion resistance, and the nonlinear DC resistance of the polymer, to capture electrical dynamics of IPMC. With electromechanical coupling, the curvature output is derived based on the circuit model. The proposed model is formulated in the state space, which will be the starting point for nonlinear controller design. Experimental verification shows that the proposed model can capture the major nonlinearities in the electrical response of IPMC.
Keywords
actuators; nonlinear control systems; electromechanical coupling; ionic polymer-metal composite actuators; nonlinear DC resistance; nonlinear capacitance; nonlinear control; nonlinear mapping; nonlinear partial differential equation; step voltage; Actuators; Capacitance; Circuits; Electric resistance; Immune system; Partial differential equations; Physics; Polymers; Robots; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location
Cancun
ISSN
0191-2216
Print_ISBN
978-1-4244-3123-6
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2008.4738884
Filename
4738884
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