Adaptive Damping Variable Sliding Mode Control for an Electrohydrostatic Actuator

An electrohydrostatic actuator (EHA) is a basic mechanical/hydraulic system with deficiencies including significant nonlinearity and parametric uncertainties. In line with the challenges of designing a high-precision control strategy, an adaptive damping variable sliding mode controller is establish...

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Main Authors: Linjie Li, Mingkang Wang, Rongrong Yang, Yongling Fu, Deming Zhu
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Actuators
Subjects:
Online Access:https://www.mdpi.com/2076-0825/10/4/83
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spelling doaj-d9c372ae64e948788f62597080a0e6362021-04-19T23:02:57ZengMDPI AGActuators2076-08252021-04-0110838310.3390/act10040083Adaptive Damping Variable Sliding Mode Control for an Electrohydrostatic ActuatorLinjie Li0Mingkang Wang1Rongrong Yang2Yongling Fu3Deming Zhu4Laboratory of Aerospace Servo Actuation and Transmission, Beihang University, Beijing 100191, ChinaLaboratory of Aerospace Servo Actuation and Transmission, Beihang University, Beijing 100191, ChinaSchool of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, ChinaLaboratory of Aerospace Servo Actuation and Transmission, Beihang University, Beijing 100191, ChinaLaboratory of Aerospace Servo Actuation and Transmission, Beihang University, Beijing 100191, ChinaAn electrohydrostatic actuator (EHA) is a basic mechanical/hydraulic system with deficiencies including significant nonlinearity and parametric uncertainties. In line with the challenges of designing a high-precision control strategy, an adaptive damping variable sliding mode controller is established, which extends our previous work on EHA control. The proposed controller integrates variable-damping sliding mode control, parametric adaptation, and an extended state observer. The parametric uncertainties are effectively captured and compensated by employing an adaptive control law, while system uncertainties are reduced, and disturbances are estimated and compensated with a fast and stable response. We evaluated the proposed control strategy on a variety of position tracking tasks. The experimental results demonstrate that our controller significantly outperforms the widely used methods in overshoot suppression, settling time, and tracking accuracy.https://www.mdpi.com/2076-0825/10/4/83electrohydrostatic actuatoradaptive control lawdamping variable sliding mode controlextended state observer
collection DOAJ
language English
format Article
sources DOAJ
author Linjie Li
Mingkang Wang
Rongrong Yang
Yongling Fu
Deming Zhu
spellingShingle Linjie Li
Mingkang Wang
Rongrong Yang
Yongling Fu
Deming Zhu
Adaptive Damping Variable Sliding Mode Control for an Electrohydrostatic Actuator
Actuators
electrohydrostatic actuator
adaptive control law
damping variable sliding mode control
extended state observer
author_facet Linjie Li
Mingkang Wang
Rongrong Yang
Yongling Fu
Deming Zhu
author_sort Linjie Li
title Adaptive Damping Variable Sliding Mode Control for an Electrohydrostatic Actuator
title_short Adaptive Damping Variable Sliding Mode Control for an Electrohydrostatic Actuator
title_full Adaptive Damping Variable Sliding Mode Control for an Electrohydrostatic Actuator
title_fullStr Adaptive Damping Variable Sliding Mode Control for an Electrohydrostatic Actuator
title_full_unstemmed Adaptive Damping Variable Sliding Mode Control for an Electrohydrostatic Actuator
title_sort adaptive damping variable sliding mode control for an electrohydrostatic actuator
publisher MDPI AG
series Actuators
issn 2076-0825
publishDate 2021-04-01
description An electrohydrostatic actuator (EHA) is a basic mechanical/hydraulic system with deficiencies including significant nonlinearity and parametric uncertainties. In line with the challenges of designing a high-precision control strategy, an adaptive damping variable sliding mode controller is established, which extends our previous work on EHA control. The proposed controller integrates variable-damping sliding mode control, parametric adaptation, and an extended state observer. The parametric uncertainties are effectively captured and compensated by employing an adaptive control law, while system uncertainties are reduced, and disturbances are estimated and compensated with a fast and stable response. We evaluated the proposed control strategy on a variety of position tracking tasks. The experimental results demonstrate that our controller significantly outperforms the widely used methods in overshoot suppression, settling time, and tracking accuracy.
topic electrohydrostatic actuator
adaptive control law
damping variable sliding mode control
extended state observer
url https://www.mdpi.com/2076-0825/10/4/83
work_keys_str_mv AT linjieli adaptivedampingvariableslidingmodecontrolforanelectrohydrostaticactuator
AT mingkangwang adaptivedampingvariableslidingmodecontrolforanelectrohydrostaticactuator
AT rongrongyang adaptivedampingvariableslidingmodecontrolforanelectrohydrostaticactuator
AT yonglingfu adaptivedampingvariableslidingmodecontrolforanelectrohydrostaticactuator
AT demingzhu adaptivedampingvariableslidingmodecontrolforanelectrohydrostaticactuator
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