Title :
Apply adaptive fuzzy sliding mode control to SMA actuator
Author :
Tai, Nguyen Trong ; Ahn, Kyoung Kwan
Author_Institution :
Dept. of Mech. & Automotive Eng., Ulsan Univ., Ulsan, South Korea
Abstract :
In this paper, an adaptive fuzzy sliding-mode controller (AFSMC) is proposed to control SMA actuator. An approach of self-tuning fuzzy sliding-mode control which combines fuzzy control with the sliding-mode control (SMC), is presented for the tracking control of a class of nonlinear systems with the parameter uncertainties. Based on Lyapunov theory, the asymptotic stability of the overall systems is proved. The controller is applied to compensate the hysteresis phenomenon of SMA. The control results show that the controller is applied successfully to SMA.
Keywords :
Lyapunov methods; actuators; adaptive control; asymptotic stability; fuzzy control; hysteresis; nonlinear control systems; self-adjusting systems; uncertain systems; variable structure systems; Lyapunov theory; SMA actuator; adaptive fuzzy sliding mode control; asymptotic stability; hysteresis phenomenon; nonlinear systems; parameter uncertainties; self-tuning fuzzy sliding-mode control; Actuators; Hysteresis; Nonlinear systems; Position control; Shape memory alloys; Sliding mode control; Adaptive Control; Adaptive Fuzzy Control; SMA Actuator; Sliding Mode Control; smart material;
Conference_Titel :
Control Automation and Systems (ICCAS), 2010 International Conference on
Conference_Location :
Gyeonggi-do
Print_ISBN :
978-1-4244-7453-0
Electronic_ISBN :
978-89-93215-02-1