Fuzzy control of a conjugated polymer actuator

Sabetghadam, Mohammadreza; İtik, Mehmet; Alici, Gürsel

doi:10.1109/cdc.2013.6759904

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…A classical fuzzy controller with Mamdani rule-base was applied to a trilayer CPA (Sabetghadam et al, 2013). Although it did not require a model, obtaining the linguistic rule base was difficult and time-consuming.…”

Section: Introductionmentioning

confidence: 99%

“…Non-model-based intelligent controllers such as those based on fuzzy logic or neural networks are well suited to the control of polymer actuators due to aforementioned problems. A classical fuzzy controller with Mamdani rule-base was applied to a trilayer CPA (Sabetghadam et al, 2013). Although it did not require a model, obtaining the linguistic rule base was difficult and time-consuming.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive fuzzy-Chebyshev network control of a conducting polymer actuator

Beyhan

İtik

2015

Journal of Intelligent Material Systems and Structures

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In this paper, the tip displacement of a conducting polymer actuator (CPA), which has an unknown and time-varying dynamics, is controlled using three different model-free adaptive controllers. First, conventional indirect adaptive fuzzy and Chebyshev functional-link network controllers are introduced. Second, a novel hybrid network which combines the capability of conventional fuzzy system and Chebyshev functional-link network is proposed for online identification and control of the CPA. The stability of the proposed controllers and boundedness of the closed-loop signals are proven using Lyapunov stability approach. The designed adaptive controllers are implemented experimentally in real-time. The performances of the controllers in tracking a square and a sine reference are compared in terms of root-mean-squared error (RMSE), required input signal power (ICVP) and settling time (t s ) performances.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%