Wire-form shape memory alloy actuators: modeling, design, and control

Wire-form shape memory alloy (WF-SMA) actuators have become integral components in numerous advanced applications ranging from robotics and aerospace to biomedicine thanks to their exceptional energy density, compact architectures and versatile actuation modes. Serving as a unique bridge between high-force actuation and material compliance, WF-SMAs enable the fabrication of intelligent soft materials and stretchable electronic systems. This work contributes a comprehensive and systematic assessment of WF-SMA actuators, including actuation modeling methodologies, typical actuator configurations, control strategies, and cutting edge applications in multiple fields. We firstly revisit the SMA actuation models with an emphasis on the theoretical foundation as well as current challenges in representing SMA's nonlinear, thermodynamic and actuation behaviors. Then, actuator design paradigms are classified according to the characteristic of the mechanical load (i.e. linear, nonlinear and differential) followed by briefly exploring the large-stroke strategies. Control approaches for manipulating WF-SMA systems are also surveyed covering a spectrum from conventional algorithms to smart strategies based on SMA-specific models, neural networks and integrated self-sensing methods. Drawing upon this assessment, we elucidate the key challenges that impede the widespread and practical application of SMA technologies, and suggest that future fabrication of WF-SMA actuators should increasingly rely on the integration of micro-nano fabrication techniques, flexible electronics, and multifunctional materials. Another promising direction for future research would be to prioritize the development of integrated modeling-design-control frameworks. Leveraging deep learning within the framework to navigate the complex nonlinearities of SMAs will directly improve operational performance and long-term reliability.

Authors

Institutions

Publication Details

Journal
Microsystems & Nanoengineering
Published
2026-03-03
DOI
https://doi.org/10.1038/s41378-026-01161-z
Primary Topic
Shape Memory Alloy Transformations
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wire-form shape memory alloy actuators: modeling, design, and control

Rongru Zhang, Xing Huang, Honghao Yue, Hao Sun et al.
Microsystems & Nanoengineering
Shape Memory Alloy Transformations
article

Wire-form shape memory alloy actuators: modeling, design, and control

Rongru Zhang, Xing Huang, Honghao Yue, Hao Sun, Miao Wang, Fei Yang, Zhiwen Yu, Jing Liu
article en

Abstract

Wire-form shape memory alloy (WF-SMA) actuators have become integral components in numerous advanced applications ranging from robotics and aerospace to biomedicine thanks to their exceptional energy density, compact architectures and versatile actuation modes. Serving as a unique bridge between high-force actuation and material compliance, WF-SMAs enable the fabrication of intelligent soft materials and stretchable electronic systems. This work contributes a comprehensive and systematic assessment of WF-SMA actuators, including actuation modeling methodologies, typical actuator configurations, control strategies, and cutting edge applications in multiple fields. We firstly revisit the SMA actuation models with an emphasis on the theoretical foundation as well as current challenges in representing SMA's nonlinear, thermodynamic and actuation behaviors. Then, actuator design paradigms are classified according to the characteristic of the mechanical load (i.e. linear, nonlinear and differential) followed by briefly exploring the large-stroke strategies. Control approaches for manipulating WF-SMA systems are also surveyed covering a spectrum from conventional algorithms to smart strategies based on SMA-specific models, neural networks and integrated self-sensing methods. Drawing upon this assessment, we elucidate the key challenges that impede the widespread and practical application of SMA technologies, and suggest that future fabrication of WF-SMA actuators should increasingly rely on the integration of micro-nano fabrication techniques, flexible electronics, and multifunctional materials. Another promising direction for future research would be to prioritize the development of integrated modeling-design-control frameworks. Leveraging deep learning within the framework to navigate the complex nonlinearities of SMAs will directly improve operational performance and long-term reliability.

Microsystems & NanoengineeringVol. 12(1)
Harbin University of Science and Technology (CN), Harbin University (CN), Harbin Engineering University (CN), Tianjin University (CN), Northwestern Polytechnical University (CN), Xiamen University (CN), Harbin Institute of Technology (CN), Northwestern Polytechnic University (US)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 38%
Shape Memory Alloy Transformations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.