Accurate pressure prediction of a servo-valve controlled hydraulic system

Kılıç, Esma; Dölen, Melik; Koku, Ahmet Buğra; Caliskan, Hakan; Balkan, Tuna

doi:10.1016/j.mechatronics.2012.08.001

Cited by 34 publications

(18 citation statements)

References 32 publications

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“…When the cylinder extends, the hydraulic oil enters the rodless chamber of the cylinder from the accumulator. When the cylinder extending, the main hydraulic circuit and accumulator together supply oil to the crane cylinder to improve the action of the cylinder [25]. A switch ball valve and a one-way throttle valve are arranged in the oil cavity passage of the rodless cylinder and accumulator.…”

Section: B Accumulator Modelmentioning

confidence: 99%

Constant Tension Characteristic Analysis and Experimental Verification of Passive Compensation Device

Xu¹,

Li²,

Chen³

2019

IJMMM

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The tension study of accumulator is a critical factor in designing hydraulic system. The accumulator regarded as air spring when connected with cylinder plays the role of shock absorption and energy storage. Based on the luffing mechanism of crane, this paper structures mathematical model of accumulator-cylinder, simulates and analyzes the frequency response characteristics of the accumulator, and verifies the constant tension characteristics in experiments. The results show that the volume of accumulator decides the compensation effect. But no matter how large the volume of accumulator is, complete compensation could not be achieved. The comparison between system pressure and the boom motion shows the superior constant tension characteristic of the accumulator.

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Section: B Accumulator Modelmentioning

confidence: 99%

Constant Tension Characteristic Analysis and Experimental Verification of Passive Compensation Device

Xu¹,

Li²,

Chen³

2019

IJMMM

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“…Li et al studied the PID correction with MATLAB in a simulation analysis of the electrohydraulic proportional control system [20]. Kilic et al proposed a structured neural network model to predict the chamber pressures in the hydraulic cylinder [21]. Forental et al investigated the dynamic characteristics using experimental and modeling approaches [22].…”

Section: Introductionmentioning

confidence: 99%

Model and Simulation Analysis of a High Speed Hydraulic System in a Fineblanking Press

Yi¹,

Feng²

2018

dtetr

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Abstract. As a key component of a hydraulic fineblanking press, a high speed hydraulic system is used to achieve the rapid movement of the slider in the noncutting stage, which is important for improving the processing efficiency. It is important to study the various properties of a high speed hydraulic system as the rapid movement affects the precision of the machine as well as the quality of the stamping parts. In this paper, a high speed hydraulic system model was established, and the static and dynamic characteristics of the key components in the system were simulated and analyzed. The system control logic was designed according to the blanking process, and the changes in the speed, displacement, pressure and flow of the high speed cylinder in the blanking process were analyzed. A strategy using PID feedback control of the system was proposed to improve the blanking precision and provide a reliable basis for the control system design.

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“…Also the neural-network modelling approach has been proven to be an effective way for identification of nonlinear hydraulic systems. 26 In general, physical equations describing an EHA system are easy to be established. Also, an EHA positioning system has weak nonlinearities; thus, parametric linear identifications are preferred.…”

Section: Introductionmentioning

confidence: 99%

Design of a low-bandwidth position controller based on system identification for an electro-hydrostatic actuator

Ren

Song

Sepehri

2017

Proceedings of the Institution of Mechanical Engineers, Part I:

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In order to design a controller, mathematical model is usually derived first, either from physical laws or by employing a system identification technique. Physical laws may not fully define the system because of the existing uncertainties and/or difficulty to accurately model certain phenomenon. Therefore, the resulting controller may be too conservative. In this article, we design a low-bandwidth controller for an electro-hydrostatic actuator positioning system based on a system identification technique. The designed controller is also linear, fixed-gain and robust to system uncertainties. A set of offline parametric linear identifications are performed under different conditions, including various environmental stiffnesses, levels of actuator internal leakage, viscous dampings and load masses. The obtained family of identified models is then used to design a quantitative feedback theory controller that satisfies given tracking and stability specifications. In addition, the performance of the controller is examined against another quantitative feedback theory controller that is designed for the same system using physical laws. The performances of two controllers are examined on a test rig. Experimental results show that both quantitative feedback theory controllers are capable of maintaining actuator position within acceptable response envelope. However, the controller designed based on physical laws has higher bandwidth and therefore is more conservative.

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Accurate pressure prediction of a servo-valve controlled hydraulic system

Cited by 34 publications

References 32 publications

Constant Tension Characteristic Analysis and Experimental Verification of Passive Compensation Device

Constant Tension Characteristic Analysis and Experimental Verification of Passive Compensation Device

Model and Simulation Analysis of a High Speed Hydraulic System in a Fineblanking Press

Design of a low-bandwidth position controller based on system identification for an electro-hydrostatic actuator

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