Application of shape memory alloy actuators to vibration and motion control of structural systems: A review

JW Sohn, JS Ruth, DG Yuk, SB Choi - Applied Sciences, 2023 - mdpi.com
This paper comprehensively reviews effective control applications using shape memory
alloy (SMA) actuators. Among many applications, this paper focuses on the vibration and …

Continuous nonsingular terminal sliding-mode control of shape memory alloy actuators using time delay estimation

M Jin, J Lee, KK Ahn - IEEE/ASME Transactions on …, 2014 - ieeexplore.ieee.org
We have developed a continuous nonsingular terminal sliding-mode control with time-delay
estimation (TDE) for shape memory alloys (SMA) actuators. The proposed method does not …

Using neural network model predictive control for controlling shape memory alloy-based manipulator

N Nikdel, P Nikdel, MA Badamchizadeh… - IEEE Transactions …, 2013 - ieeexplore.ieee.org
This paper presents a new setup and investigates neural model predictive and variable
structure controllers designed to control the single-degree-of-freedom rotary manipulator …

Output-feedback adaptive neural control of a compliant differential SMA actuator

Y Pan, Z Guo, X Li, H Yu - IEEE Transactions on control …, 2017 - ieeexplore.ieee.org
This brief focuses on modeling and neural-network-based control of a novel compliant
differential shape memory alloy (SMA) actuator characterized by reduced total stiffness and …

Position control of SMA actuator based on inverse empirical model and SMC-RBF compensation

J Li, H Tian - Mechanical Systems and Signal Processing, 2018 - Elsevier
Due to the nonlinear saturated hysteretic behavior of SMA during the phase transformation,
it is not easy to achieve accurate position tracking control by establishing an effective …

Active modeling and control for shape memory alloy actuators

D Zhang, X Zhao, J Han, X Li, B Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, an active modeling and control scheme is developed for Shape Memory Alloy
(SMA) actuators to eliminate the negative influences caused by the uncertainties in its …

Kalman filtering compensated by radial basis function neural network for seam tracking of laser welding

X Gao, X Zhong, D You… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
An approach for seam tracking during high-power fiber laser butt-joint welding is presented.
Kalman filtering (KF) improved by the radial basis function neural network (RBFNN) of the …

Radial basis function neural network based adaptive fast nonsingular terminal sliding mode controller for piezo positioning stage

TX Dinh, KK Ahn - International Journal of Control, Automation and …, 2017 - Springer
This paper presents an adaptive fast nonsingular terminal sliding mode control base on a
neural network based approximation technique to control the position of a piezo positioning …

Fuzzy time delay algorithms for position control of soft robot actuated by shape memory alloy

J Li, Y Pi - International Journal of Control, Automation and …, 2021 - Springer
Due to the nonlinear saturated hysteretic behavior of SMA during the phase transformation,
it is not easy to achieve accurate position tracking control by establishing an effective …

Adaptive control for shape memory alloy actuated systems with applications to human–robot interaction

E Shi, X Zhong, T Wang, X Li, C Bu… - Frontiers in Neuroscience, 2024 - frontiersin.org
Introduction Shape memory alloy (SMA) actuators are attractive options for robotic
applications due to their salient features. So far, achieving precise control of SMA actuators …