Tracking Control of Shape-Memory-Alloy Actuators Based on Self-Sensing Feedback and Inverse Hysteresis Compensation

Shape memory alloys (SMAs) offer a high power-to-weight ratio, large recovery strain, and low driving voltages, and have thus attracted considerable research attention. The difficulty of controlling SMA actuators arises from their highly nonlinear hysteresis and temperature dependence. This paper de...

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Main Authors: Shu-Hung Liu, Tse-Shih Huang, Jia-Yush Yen
Format: Article
Language:English
Published: MDPI AG 2009-12-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/10/1/112/
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author Shu-Hung Liu
Tse-Shih Huang
Jia-Yush Yen
author_facet Shu-Hung Liu
Tse-Shih Huang
Jia-Yush Yen
author_sort Shu-Hung Liu
collection DOAJ
description Shape memory alloys (SMAs) offer a high power-to-weight ratio, large recovery strain, and low driving voltages, and have thus attracted considerable research attention. The difficulty of controlling SMA actuators arises from their highly nonlinear hysteresis and temperature dependence. This paper describes a combination of self-sensing and model-based control, where the model includes both the major and minor hysteresis loops as well as the thermodynamics effects. The self-sensing algorithm uses only the power width modulation (PWM) signal and requires no heavy equipment. The method can achieve high-accuracy servo control and is especially suitable for miniaturized applications.
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spelling doaj.art-2616014face0424b96ea313e32fb88c42022-12-22T04:09:45ZengMDPI AGSensors1424-82202009-12-0110111212710.3390/s100100112Tracking Control of Shape-Memory-Alloy Actuators Based on Self-Sensing Feedback and Inverse Hysteresis CompensationShu-Hung LiuTse-Shih HuangJia-Yush YenShape memory alloys (SMAs) offer a high power-to-weight ratio, large recovery strain, and low driving voltages, and have thus attracted considerable research attention. The difficulty of controlling SMA actuators arises from their highly nonlinear hysteresis and temperature dependence. This paper describes a combination of self-sensing and model-based control, where the model includes both the major and minor hysteresis loops as well as the thermodynamics effects. The self-sensing algorithm uses only the power width modulation (PWM) signal and requires no heavy equipment. The method can achieve high-accuracy servo control and is especially suitable for miniaturized applications.http://www.mdpi.com/1424-8220/10/1/112/shape memory alloysself-sensing controlhysteresis model
spellingShingle Shu-Hung Liu
Tse-Shih Huang
Jia-Yush Yen
Tracking Control of Shape-Memory-Alloy Actuators Based on Self-Sensing Feedback and Inverse Hysteresis Compensation
Sensors
shape memory alloys
self-sensing control
hysteresis model
title Tracking Control of Shape-Memory-Alloy Actuators Based on Self-Sensing Feedback and Inverse Hysteresis Compensation
title_full Tracking Control of Shape-Memory-Alloy Actuators Based on Self-Sensing Feedback and Inverse Hysteresis Compensation
title_fullStr Tracking Control of Shape-Memory-Alloy Actuators Based on Self-Sensing Feedback and Inverse Hysteresis Compensation
title_full_unstemmed Tracking Control of Shape-Memory-Alloy Actuators Based on Self-Sensing Feedback and Inverse Hysteresis Compensation
title_short Tracking Control of Shape-Memory-Alloy Actuators Based on Self-Sensing Feedback and Inverse Hysteresis Compensation
title_sort tracking control of shape memory alloy actuators based on self sensing feedback and inverse hysteresis compensation
topic shape memory alloys
self-sensing control
hysteresis model
url http://www.mdpi.com/1424-8220/10/1/112/
work_keys_str_mv AT shuhungliu trackingcontrolofshapememoryalloyactuatorsbasedonselfsensingfeedbackandinversehysteresiscompensation
AT tseshihhuang trackingcontrolofshapememoryalloyactuatorsbasedonselfsensingfeedbackandinversehysteresiscompensation
AT jiayushyen trackingcontrolofshapememoryalloyactuatorsbasedonselfsensingfeedbackandinversehysteresiscompensation