International Journal of Intelligent Systems and Applications (IJISA)
IJISA Vol. 5, No. 11, 8 Oct. 2013
Cover page and Table of Contents: PDF (size: 669KB)
Artificial Error Tuning Based on Design a Novel SISO Fuzzy Backstepping Adaptive Variable Structure Control
Full Text (PDF, 669KB), PP.34-46
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Author(s)
Samaneh Zahmatkesh
1,*
Farzin Piltan
2
Kamran Heidari
1
Mohammad shamsodini
1
Sara Heidari
1
Index Terms
Continuum Robot, Fuzzy Logic Controller, Variable Structure Controller, Backstepping Controller, Adaptive Methodology, Lyapunov Based Controller
Abstract
This paper examines single input single output (SISO) chattering free variable structure control (VSC) which controller coefficient is on-line tuned by fuzzy backstepping algorithm to control of continuum robot manipulator. Variable structure methodology is selected as a framework to construct the control law and address the stability and robustness of the close loop system based on Lyapunove formulation. The main goal is to guarantee acceptable error result and adjust the trajectory following. The proposed approach effectively combines the design technique from variable structure controller is based on Lyapunov and modified Proportional plus Derivative (P+D) fuzzy estimator to estimate the nonlinearity of undefined system dynamic in backstepping controller. The input represents the function between variable structure function, error and the modified rate of error. The outputs represent joint torque, respectively. The fuzzy backstepping methodology is on-line tune the variable structure function based on adaptive methodology. The performance of the SISO VSC based on-line tuned by fuzzy backstepping algorithm (FBSAVSC) is validated through comparison with VSC. Simulation results signify good performance of trajectory in presence of uncertainty joint torque load.
Cite This Paper
Samaneh Zahmatkesh, Farzin Piltan, Kamran Heidari, Mohammad Shamsodini, Sara Heidari, "Artificial Error Tuning Based on Design a Novel SISO Fuzzy Backstepping Adaptive Variable Structure Control", International Journal of Intelligent Systems and Applications(IJISA), vol.5, no.11, pp.34-46, 2013. DOI:10.5815/ijisa.2013.11.04
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