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
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.
Type of Article:
Research paper |
Subject:
Special Received: 2014/04/18 | Accepted: 2014/04/18 | Published: 2014/04/18