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Proceedings Paper

Position control of ionic polymer metal composite actuator based on neuro-fuzzy system
Author(s): Truong-Thinh Nguyen; Young-Soo Yang; Il-Kwon Oh
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Paper Abstract

This paper describes the application of Neuro-Fuzzy techniques for controlling an IPMC cantilever configuration under water to improve tracking ability for an IPMC actuator. The controller was designed using an Adaptive Neuro-Fuzzy Controller (ANFC). The measured input data based including the tip-displacements and electrical signals have been recorded for generating the training in the ANFC. These data were used for training the ANFC to adjust the membership functions in the fuzzy control algorithm. The comparison between actual and reference values obtained from the ANFC gave satisfactory results, which showed that Adaptive Neuro-Fuzzy algorithm is reliable in controlling IPMC actuator. In addition, experimental results show that the ANFC performed better than the pure fuzzy controller (PFC). Present results show that the current adaptive neuro-fuzzy controller can be successfully applied to the real-time control of the ionic polymer metal composite actuator for which the performance degrades under long-term actuation.

Paper Details

Date Published: 21 October 2009
PDF: 10 pages
Proc. SPIE 7493, Second International Conference on Smart Materials and Nanotechnology in Engineering, 74933I (21 October 2009); doi: 10.1117/12.841855
Show Author Affiliations
Truong-Thinh Nguyen, Chonnam National Univ. (Korea, Republic of)
Young-Soo Yang, Chonnam National Univ. (Korea, Republic of)
Il-Kwon Oh, Chonnam National Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 7493:
Second International Conference on Smart Materials and Nanotechnology in Engineering
Jinsong Leng; Anand K. Asundi; Wolfgang Ecke, Editor(s)

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