Optimized-Based Fault-Tolerant Control of an Electro-Hydraulic System with Disturbance Rejection

Phan, Van Du; Ahn, Kyoung Kwan

doi:10.3390/app12189197

Cited by 5 publications

(6 citation statements)

References 42 publications

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“…Furthermore, based on the definition of adaptive law (20) and the parameter tuning of λ ks , we have…”

Section: ) Stability Analysismentioning

confidence: 99%

“…In this subsection, we conducted a comparative analysis of the control performance of the sliding mode control law (15) using three sets of switching gains: k s = 200, k s = 500, and k s automatically adjusted based on the adaptive law (20). It is assumed that the system state is known, measurement noise is neglected, and the observer is solely utilized for disturbance estimation.…”

Section: Effectiveness Of the Adaptive Switching-gainmentioning

confidence: 99%

“…Various effective disturbance estimation techniques have been developed alongside SMC to mitigate uncertainties. The nonlinear disturbance observer (NDO) [17], [19] employs auxiliary variables to estimate disturbances when state derivatives are unknown, applied in the control of velocity and pressure dynamics [20]. The Sliding mode observers (SMO) achieves precise disturbance estimation through switching actions, addressing nonlinearity in pump control system dynamics [7], [21].…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Sliding Mode Control of an Electro-Hydraulic Actuator With a Kalman Extended State Observer

Lao,

Chen

2024

IEEE Access

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Electro-hydraulic actuators (EHAs) are key linear drive components in various industrial applications. This paper addresses the challenge of achieving precise displacement tracking control for EHAs with only noisy displacement measurements. We propose a novel control approach, which consists of a Kalman extended state observer (KESO) with an adaptive sliding mode controller (ASMC). First, compared to the conventional high-gain design for the extended state observer (ESO), the Kalman filtering technique is utilized to tune the ESO feedback gain, effectively mitigating observation failures caused by measurement noise. Second, to ensure stability and minimize tracking errors in sliding mode control, a switching-gain adaptation is designed based on the desired switching gain via the derivative of the sliding variable. To validate the effectiveness of the proposed approach, simulation experiments are conducted in the Amesim simulation software. The results conclusively demonstrate that the proposed KESO-ASMC achieves significantly improved trajectory tracking performance, even in the presence of measurement noise and unknown disturbances.INDEX TERMS Adaptive switching gain, disturbance estimation, electro-hydraulic actuator, Kalman extended state observer, measurement noise, sliding mode control.

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“…Furthermore, based on the definition of adaptive law (20) and the parameter tuning of λ ks , we have…”

Section: ) Stability Analysismentioning

confidence: 99%

Section: Effectiveness Of the Adaptive Switching-gainmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptive Sliding Mode Control of an Electro-Hydraulic Actuator With a Kalman Extended State Observer

Lao,

Chen

2024

IEEE Access

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“…Consequently, the design of the FTC scheme has been put forward for suppressing the unfavorable effects of the disturbances and sensor faults for the EHSS. Different control methods have been introduced to obtain high precision tracking control under sensor fault conditions [24][25][26][27][28]. Among them, the backstepping control technique is exploited in designing position tracking control problem for the EHSSs.…”

Section: Introductionmentioning

confidence: 99%

Fault-tolerant control for an electro-hydraulic servo system with sensor fault compensation and disturbance rejection

Phan

Ahn

2023

Nonlinear Dyn

Self Cite

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The electro-hydraulic servo system (EHSS) usually faces multiple sensor faults and disturbances, which is difficult to achieve good tracking control, reliability, and stability control. In this article, an advanced fault-tolerant controller is proposed for an EHSS to deal with the above challenge. The three fault observers, called nonlinear unknown input observers (NUIOs), are developed to effectively estimate the position, velocity, pressure sensor faults and the system states. The fault detection, estimation, and isolation are then presented as effective for multiple sensors failure at a time. The first NUIO for position sensor fault is utilized for the tracking control, while the other NUIOs are used for alarm proposal. The adverse effects caused by the matched and unmatched disturbances are eliminated by two extended state observers (ESOs). In addition, to avoid the “explosion of complexity” when computing the derivatives of virtual control laws, the dynamic surface control is applied to design the fault-tolerant control (FTC) scheme. The Lyapunov principle ensures system stability under lumped disturbance and faulty conditions. Finally, simulation studies and evaluation results are performed to demonstrate the validity of the proposed FTC algorithm.

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“…The popular method can predict system performance more accurately, but it requires a relatively long calculation time. References [13,14] and other research teams have established multidisciplinary models of mechanics-electronics-hydraulics integration systems by using AMESim software or analytical models, respectively [15,16]. Reference [17] modeled EHA-based active suspension based on a power bond graph.…”

Section: Introductionmentioning

confidence: 99%

Refined Modeling Method and Analysis of an Electromagnetic Direct-Drive Hydrostatic Actuation System

Zhao

et al. 2022

Actuators

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The hydrostatic actuation system based on linear actuators improves the complex piston force and long transmission path of the traditional electro-hydrostatic actuator (EHA). However, new nonlinear factors in the linear actuator and direct-driven piston are introduced into the system, which present challenges to system modeling and control. To improve the accuracy of system performance prediction, this paper analyzed the working characteristics of an electromagnetic direct-drive hydrostatic actuation system (EDHAS). A dynamic model of the electromagnetic linear actuator including the LuGre friction model was established. The high-pressure internal leakage of the direct-drive pump was described by an inclined eccentric leakage model. The Karnopp friction model was applied to solve the problem of switching between viscous and sliding friction in a cylinder. The hydraulic components model was established based on AMESim, and the electromagnetic linear actuator model and the system controller model were established in Matlab/Simulink, to establish a refined electromechanical–hydraulic co-simulation model of the EDHAS with electromagnetic, mechanical, hydraulic, and control coupling. A system performance test platform was built. The simulation results of the direct-drive piston displacement, the system pressure, the system flow rate, and the cylinder displacement match well with experimental results, which verifies the validity and accuracy of the refined modeling method.

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Optimized-Based Fault-Tolerant Control of an Electro-Hydraulic System with Disturbance Rejection

Cited by 5 publications

References 42 publications

Adaptive Sliding Mode Control of an Electro-Hydraulic Actuator With a Kalman Extended State Observer

Adaptive Sliding Mode Control of an Electro-Hydraulic Actuator With a Kalman Extended State Observer

Fault-tolerant control for an electro-hydraulic servo system with sensor fault compensation and disturbance rejection

Refined Modeling Method and Analysis of an Electromagnetic Direct-Drive Hydrostatic Actuation System

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