Title :
Fuzzy Control of Ionic Polymer-Metal Composites
Author :
Khadivi, H. ; Aghazadeh, B.S. ; Lucas, C.
Author_Institution :
Tehran Univ., Tehran
Abstract :
Ionic polymer-metal composites (IPMCs) have advantages of softness and flexibility to be used in biomedical applications. In this paper a fuzzy logic controller (FLC) has been designed for achieving the goal of tracking. Also co- evolutionary-based genetic algorithms technique has been employed to optimize membership functions and fuzzy rules. The simulation results show that fuzzy controller has higher performance in comparison with other controllers.
Keywords :
actuators; biomedical materials; composite materials; control system synthesis; fuzzy control; genetic algorithms; polymers; prosthetics; tracking; biomedical applications; evolutionary-based genetic algorithms technique; fuzzy logic controller design; fuzzy rules; ionic polymer-metal composites; tracking performance; Actuators; Application software; Control systems; Fuzzy control; Fuzzy logic; Heart; Muscles; Nonlinear control systems; Polymers; Sliding mode control; Algorithms; Animals; Composite Resins; Humans; Ions; Materials Testing; Metals; Models, Biological;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353262
