Volume 7, Issue 1 (Journal of Control, V.7, N.1 Spring 2013)                   JoC 2013, 7(1): 53-60 | Back to browse issues page

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Papari M, Ghanbarzade A, Haidari Shirazi K. Modeling and Control of Actuator Position of Shape Memory Alloy using Type-2 Fuzzy Control System Optimized by BEES Algorithm. JoC 2013; 7 (1) :53-60
URL: http://joc.kntu.ac.ir/article-1-31-en.html
Modeling and Control of Actuator Position of Shape Memory Alloy using Type-2 Fuzzy Control System Optimized by BEES Algorithm
Mohsen Papari *1, Afshin Ghanbarzade, Korosh Haidari Shirazi
Abstract:   (14462 Views)
In this paper, a shape memory alloy actuator was controlled by the type-2 Fuzzy Logic Controller optimized with bees Algorithm. At the beginning equations related to nonlinear behavior of a shape memory alloy actuator were simulated using Matlab/simulink software. Then in order to compare the performance of optimized type-2 fuzzy Logic controller with other controller, the position of the robot arm was controlled by two tuned with Bees Algorithm controllers, PID and Type-1 fuzzy logic controller. The simulation results show that optimized type-2 Fuzzy Logic Controller has better performance than the other controllers in determining the accurate position of robot arm.
Keywords: Shape memory alloy, Modeling, Type-2 fuzzy Control, BEES Algorithm
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Type of Article: Research paper | Subject: Special
Received: 2014/04/18 | Accepted: 2014/04/18 | Published: 2014/04/18
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