Improvement of tracking performance of SMA-actuated rotary actuator via thermocouple delay compensation using adaptive predictor

This paper investigates the impact of bounded and unknown delay of a J-type thermocouple sensor on controlling a Shape Memory Alloy (SMA) actuated rotary actuator. To compensate for the delay, a nonlinear adaptive predictor is utilized, which predicts the exact temperature of the present moment using the output of the sensor. A robust sliding mode control is then designed to track the reference input, which is the rotation angle of the pulley. In addition to temperature estimation, the inner system identification algorithm of the predictor identifies the heat transfer coefficients of the experimental setup. Experimental tests demonstrate the precise control of the proposed algorithm. The tracking error of the adaptive predictor with sliding mode control is compared to that of a regular sliding mode controller without temperature delay compensation consideration, showing the superior performance of the proposed control algorithm.

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Publication Details

Journal
Journal of Intelligent Material Systems and Structures
Published
2024-10-06
DOI
https://doi.org/10.1177/1045389x241281846
Primary Topic
Shape Memory Alloy Transformations
Type
article
Field-Weighted Citation Impact
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article

Improvement of tracking performance of SMA-actuated rotary actuator via thermocouple delay compensation using adaptive predictor

Mohammad Reza Zakerzadeh, Mahyar Hasanzadeh Moghadam, Payam Naseri
Journal of Intelligent Material Systems and Structures
Shape Memory Alloy Transformations
article

Improvement of tracking performance of SMA-actuated rotary actuator via thermocouple delay compensation using adaptive predictor

Mohammad Reza Zakerzadeh, Mahyar Hasanzadeh Moghadam, Payam Naseri
article en

Abstract

This paper investigates the impact of bounded and unknown delay of a J-type thermocouple sensor on controlling a Shape Memory Alloy (SMA) actuated rotary actuator. To compensate for the delay, a nonlinear adaptive predictor is utilized, which predicts the exact temperature of the present moment using the output of the sensor. A robust sliding mode control is then designed to track the reference input, which is the rotation angle of the pulley. In addition to temperature estimation, the inner system identification algorithm of the predictor identifies the heat transfer coefficients of the experimental setup. Experimental tests demonstrate the precise control of the proposed algorithm. The tracking error of the adaptive predictor with sliding mode control is compared to that of a regular sliding mode controller without temperature delay compensation consideration, showing the superior performance of the proposed control algorithm.

Journal of Intelligent Material Systems and StructuresVol. 35(19)
University of Tehran (IR)
Affordable and clean energy
Openalex Percentile: Top 89%
Shape Memory Alloy Transformations
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