Discrete‐time sliding mode control with an input filter for an electro‐hydraulic actuator

Zhou, Hua; Lao, Liming; Chen, Yinglong; Yang, Huayong

doi:10.1049/iet-cta.2016.0951

Cited by 24 publications

(17 citation statements)

References 47 publications

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“…The RBF neural network algorithm can approximate any non-linear network [22], and the sliding mode control algorithm can improve the robustness of the system by selecting switching functions [23]. The RBF neural network is a kind of a single hidden layer of the three-layer feedforward network with input and output non-linear mappings.…”

Section: Strategy Selectionmentioning

confidence: 99%

RBF Neural Network Sliding Mode Control Method Based on Backstepping for an Electro-hydraulic Actuator

Shi

Zhao

et al. 2020

SV-JME

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Aiming at the interference problem and the difficulty of model parameter determination caused by the nonlinearity of the valve-controlled hydraulic cylinder position servo system, this study proposes a radial basis function (RBF) neural network sliding mode control strategy based on a backstepping strategy for the electro-hydraulic actuator. First, the non-linear system model of the third-order position electro-hydraulic control servo system is established on the basis of the principle analysis. Second, the model function RBF adaptive law and backstepping control law are designed according to Lyapunov’s stability theorem to solve the problem of external load disturbance and modelling uncertainty, combined with sliding mode control strategy and virtual control law. Finally, simulation and experiment on MATLAB Simulink and semi-physical experimental platform are accomplished to show the effectiveness of the proposed method. Moreover, results show that the designed controller has high tracking accuracy to the given signal.

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Section: Strategy Selectionmentioning

confidence: 99%

RBF Neural Network Sliding Mode Control Method Based on Backstepping for an Electro-hydraulic Actuator

Shi

Zhao

et al. 2020

SV-JME

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“…Hydraulic actuators are capable of handling large inertia and heavy loads with high accuracy and rapid response [1,2]. Hydraulic valve-controlled single-rod actuator (HVSA) systems have been widely employed in many industrial applications [3].…”

Section: Introductionmentioning

confidence: 99%

“…Hydraulic valve-controlled single-rod actuator (HVSA) systems have been widely employed in many industrial applications [3]. For instance, they are widely used in the vehicle suspension system [4,5], fields of excavator [6,7], shaking table [8][9][10], actuators system [2,11], and testing equipment [12,13]. In view of these facts, how to achieve high-performance servo control of hydraulic system has been of great interest in both academia and industry over the last decades.…”

Section: Introductionmentioning

confidence: 99%

Disturbance observer‐based output feedback control of hydraulic servo system considering mismatched uncertainties and internal pressure dynamics stability

Wang

Zhang

Wang

et al. 2020

IET Control Theory & Applications

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“…Therefore, discrete-time sliding mode control, as a powerful robust control method, has become a hot issue during the past decades. [9][10][11][12][13][14] Different types of sliding mode control methods, such as first-order sliding mode control, 15,16 integral sliding mode control, [17][18][19] terminal sliding mode control, 20,21 and higher-order sliding mode control 22 have been proposed and employed in discrete-time systems to improve overshoot or settling time.…”

Section: Introductionmentioning

confidence: 99%

Novel sliding mode control for multi‐input–multi‐output discrete‐time system with disturbance

Hou

2018

Intl J Robust & Nonlinear

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This paper investigates sliding mode control for multi-input-multi-output discrete-time system with disturbances. First of all, a novel nonlinear sliding surface, named as hyperbolic hybrid switching sliding surface, is proposed. Two different types of hyperbolic functions are introduced into the proposed sliding surface. Due to the changing of values of the hyperbolic functions, sliding surface switching occurs during the control process, which ensures that both settling time and overshoot can be decreased. The sliding mode controller is obtained based on a novel nonlinear reaching law. The nonlinear reaching law contains several parameters, and by properly designing these parameters, we can decrease the bounds of the sliding variables to small values. The stability analysis of the sliding motion is carried out from singular system viewpoint. Finally, simulation examples and comparison examples are presented to illustrate that the system performance is improved obviously by proposed novel sliding mode control, and the system is robust to the disturbances.

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Discrete‐time sliding mode control with an input filter for an electro‐hydraulic actuator

Cited by 24 publications

References 47 publications

RBF Neural Network Sliding Mode Control Method Based on Backstepping for an Electro-hydraulic Actuator

RBF Neural Network Sliding Mode Control Method Based on Backstepping for an Electro-hydraulic Actuator

Disturbance observer‐based output feedback control of hydraulic servo system considering mismatched uncertainties and internal pressure dynamics stability

Novel sliding mode control for multi‐input–multi‐output discrete‐time system with disturbance

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