A novel multi-objective optimization method for the pressurized reservoir in hydraulic robotics

Ouyang, Xiaoping; Fan, Boqian; Yang, Huayong; Ding, Shuo

doi:10.1631/jzus.a1600034

Cited by 7 publications

(6 citation statements)

References 21 publications

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Section: Overview Of the Eha Principlementioning

confidence: 99%

“…Figure 9 shows the schematic diagram and picture of EHA-FPVS. The EHA comprises the control unit (including power control unit and electronic control unit), speed motor, high-speed bi-directional pump, accumulator, check valve, bypass valve, safety valve, actuator cylinder, sensor, and other modules [3]. When the control unit receives a command, it integrates sensor information such actuator cylinder position, pressure, and rotatation speed to control the speed moto which can quickly realize the volumetric control of oil flow in the hydraulic circuit.…”

Section: Overview Of the Eha Principlementioning

confidence: 99%

“…The basic principle of EHA is volume control, it means the motor or pump directly controls the flow and direction of oil flowing through the actuator cylinder. Depending on whether the regulating object is a motor or a pump, or both, EHA can be divided into three categories [3]: fixed displacement variable speed (EHA-FPVS), variable displacement fixed speed (EHA-VPFS), and variable displacement variable speed (EHA-VPVS). As a complex electromechanical system, EHA is highly integrated with a power control unit, electronic control unit, variable-speed motor, piston pump, check valve, bypass valve, relief valve, actuator cylinder, sensor, and other modules, which complicates its faults, including control unit failure, sensor failure (loss of sensor gain), motor circuit failure (short circuit, open circuit, and resistance increases) and hydraulic circuit failure (hydraulic oil pollution, internal leakage), etc.…”

Section: Introductionmentioning

confidence: 99%

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Fault Diagnosis Method for Aircraft EHA Based on FCNN and MSPSO Hyperparameter Optimization

Cao

et al. 2022

Applied Sciences

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Contrapose the highly integrated, multiple types of faults and complex working conditions of aircraft electro hydrostatic actuator (EHA), to effectively identify its typical faults, we propose a fault diagnosis method based on fusion convolutional neural networks (FCNN). First, the aircraft EHA fault data is encoded by gram angle difference field (GADF) to obtain the fault feature images. Then we build a FCNN model that integrates the 1DCNN and 2DCNN, where the original 1D fault data is the input of the 1DCNN model, and the feature images obtained by GADF transformation are used as the input of 2DCNN. Multiple convolution and pooling operations are performed on each of these inputs to extract the features. Next these feature vectors are spliced in the convergence layer, and the fully connected layers and the Softmax layers are finally used to attain the classification of aircraft EHA faults. Furthermore, the multi-strategy hybrid particle swarm optimization (MSPSO) algorithm is applied to optimize the FCNN to obtain a better combination of FCNN hyperparameters; MSPSO incorporates various strategies, including an initialization strategy based on homogenization and randomization, and an adaptive inertia weighting strategy, etc. The experimental result indicates that the FCNN model optimized by MSPSO achieves an accuracy of 96.86% for identifying typical faults of the aircraft EHA, respectively, higher than the 1DCNN and the 2DCNN by about 16.5% and 5.7%. By comparing with LeNet-5, GoogleNet, AlexNet, and GRU, the FCNN model presents the highest diagnostic accuracy, less time in training and testing. The comprehensive performance of the proposed model is demonstrated to be much stronger. Additionally, the FCNN model improved by MSPSO has a higher accuracy rate when compared to PSO.

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Section: Overview Of the Eha Principlementioning

confidence: 99%

Section: Overview Of the Eha Principlementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fault Diagnosis Method for Aircraft EHA Based on FCNN and MSPSO Hyperparameter Optimization

Cao

et al. 2022

Applied Sciences

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“…Reciprocating seals play a critical role in hydraulic systems by reducing pollution by preventing hydraulic oil leakage from the system (OuYang and Yang, 2016). Failure of the seal will result in degradation of the hydraulic system function.…”

Section: Introductionmentioning

confidence: 99%

Thermo-elastohydrodynamic lubrication performance study of step seal under transient condition

Wei,

Sun,

Tian

et al. 2023

ILT

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Purpose This paper aims to study the impact of transient velocity changes on sealing performance during reciprocating sealing processes. Design/methodology/approach Establish a model of transient mixed lubrication, solve the transient Reynolds equation, consider the effect of temperature rise at the seal interfaces, and determine the behavior of the seal interfaces, such as film thickness and fluid pressure. Evaluation with friction and leakage rate, calculate the variation of sealing performance with reciprocating velocity under different working conditions, and verify it through bench experiments. Findings Within a reciprocating stroke, the frictional force decreases with increasing velocity, and the frictional force of the outstroke is greater than that of the instroke; at the time of the stroke transition, the fluid pressure is smallest and the rough peak contact pressure is greatest. At present, the dynamic pressure effect of fluids is the largest, and the friction force also increases, which increases the risk of material wear and failure. Friction and leakage increase with increasing pressure and root mean square roughness. As temperature increases, friction increases and leakage decreases. In studying the performance variations of seal components through a reciprocating sealing experiment, it was found that the friction force decreases with increasing velocity, which is consistent with the calculated results and more similar to the calculated results considering the temperature rise. Originality/value This study provides a reference for the study of transient sealing performance.

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“…The traditional electro-hydrostatic actuation system adopts the mode of rotatingmotor-swash-plate piston-pump-actuator-cylinder in series. Many teams have conducted in-depth research on system design and control [4][5][6][7][8]. The electro-hydrostatic actuator based on linear drive devices has great potential in the fields of robots and electric vehicles.…”

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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A novel multi-objective optimization method for the pressurized reservoir in hydraulic robotics

Cited by 7 publications

References 21 publications

Fault Diagnosis Method for Aircraft EHA Based on FCNN and MSPSO Hyperparameter Optimization

Fault Diagnosis Method for Aircraft EHA Based on FCNN and MSPSO Hyperparameter Optimization

Thermo-elastohydrodynamic lubrication performance study of step seal under transient condition

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

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