Fuzzy Control of Ionic Polymer-Metal Composites

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.