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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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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1721519002303332352 |