Integral sliding mode backstepping control strategy for shape memory alloy actuator based on prescribed performance control

To address the challenges of imprecise control of shape memory alloy (SMA) material control processes due to nonlinearities, hysteresis, and time-varying parameters, a prescribed performance control method using integrated sliding mode backstepping control was proposed. First, a mechanism model was formulated on the basis of the architecture of the SMA actuator. To improve the system’s dynamic tracking error performance, a novel performance function based on the prescribed performance control method was introduced. Concurrently, the convergence of the transformed error function is ensured by combining the integral sliding mode backstepping controller, guaranteeing that the tracking error converges to the predefined envelope range of the performance function. Moreover, an extended state observer (ESO) is utilized to observe and compensate for uncertainties and disturbances arising from system parameter fluctuations or modeling inaccuracies. For SMA material parameters that cannot be measured directly, an experimental setup was constructed to identify and validate these parameters. In conclusion, numerical simulations are conducted to compare the proposed control method with sliding mode controllers (SMCs) and proportional–integral (PI) controllers, assessing the dynamic behavior and response speed of the SMA actuator under various target angle inputs. The findings revealed that the proposed control strategy achieves the fastest convergence times and the lowest root mean square errors (RMSEs) across three different target angle tracking scenarios, with values of 1.003e-3°, 5.244e-4°, and 3.367e-5°, respectively. These results represent improvements of 54.11% and 55.84% over those of the SMC and PI controllers, respectively. Consequently, the proposed control methodology demonstrates rapid responsiveness, high control precision, and robust performance.

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Publication Details

Journal
Transactions of the Institute of Measurement and Control
Published
2025-06-09
DOI
https://doi.org/10.1177/01423312251322218
Primary Topic
Shape Memory Alloy Transformations
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Integral sliding mode backstepping control strategy for shape memory alloy actuator based on prescribed performance control

Jinguo Liu, Guojie Li, Qinghui Wang, Shuang Yu et al.
Transactions of the Institute of Measurement and Control
Shape Memory Alloy Transformations
article

Integral sliding mode backstepping control strategy for shape memory alloy actuator based on prescribed performance control

Jinguo Liu, Guojie Li, Qinghui Wang, Shuang Yu, Xuemei Guan
article en

Abstract

To address the challenges of imprecise control of shape memory alloy (SMA) material control processes due to nonlinearities, hysteresis, and time-varying parameters, a prescribed performance control method using integrated sliding mode backstepping control was proposed. First, a mechanism model was formulated on the basis of the architecture of the SMA actuator. To improve the system’s dynamic tracking error performance, a novel performance function based on the prescribed performance control method was introduced. Concurrently, the convergence of the transformed error function is ensured by combining the integral sliding mode backstepping controller, guaranteeing that the tracking error converges to the predefined envelope range of the performance function. Moreover, an extended state observer (ESO) is utilized to observe and compensate for uncertainties and disturbances arising from system parameter fluctuations or modeling inaccuracies. For SMA material parameters that cannot be measured directly, an experimental setup was constructed to identify and validate these parameters. In conclusion, numerical simulations are conducted to compare the proposed control method with sliding mode controllers (SMCs) and proportional–integral (PI) controllers, assessing the dynamic behavior and response speed of the SMA actuator under various target angle inputs. The findings revealed that the proposed control strategy achieves the fastest convergence times and the lowest root mean square errors (RMSEs) across three different target angle tracking scenarios, with values of 1.003e-3°, 5.244e-4°, and 3.367e-5°, respectively. These results represent improvements of 54.11% and 55.84% over those of the SMC and PI controllers, respectively. Consequently, the proposed control methodology demonstrates rapid responsiveness, high control precision, and robust performance.

Transactions of the Institute of Measurement and Control
Shenyang Institute of Automation (CN), Chinese Academy of Sciences (CN), University of Chinese Academy of Sciences (CN), Shenyang University of Chemical Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 91%
Shape Memory Alloy Transformations
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