Abstract

Directional control valves play a large role in most hydraulic systems. When modeling the hydraulic systems, it is important that both the steady state and dynamic characteristics of the valves are modeled correctly to reproduce the dynamic characteristics of the entire system. In this paper, a proportional valve (Brevini HPV 41) is investigated to identify its dynamic and steady state characteristics. The steady state characteristics are identied by experimental ow curves. The dynamics are determined through frequency response analysis and identied using several transfer functions. The paper also presents a simulation model of the valve describing both steady state and dynamic characteristics. The simulation results are veried through several experiments.

Highlights

  • Directional control valves (DCVs) are indispensable components in most hydraulic systems

  • In order to describe the flow curve mathematically, a ninth order polynomial is fitted on top of the measured flow characteristics

  • The valves dead band is included in the simulation results

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Summary

Introduction

Directional control valves (DCVs) are indispensable components in most hydraulic systems. Another category of DCVs is the so-called mobile proportional valves (MPVs) used for mobile applications such as, tractors, wheel loaders and truck mounted cranes, i.e., open loop motion control systems where an operator closes the control loop They are normally pressure compensated, making them load independent, and may be mechanically, hydraulically or electro-hydraulically actuated. Niksefat and Sepehri (1999) made a hydraulic force controller by using nonlinear Quantitative Feedback Theory (QFT) For this purpose they had to make a complete nonlinear mathematical model of the actuator system consisting of a valve and a cylinder, and use the Golubev method to derive a rational transfer function of the system. A valve model is proposed which is validated and verified with experimental results

Considered Valve
Frequency Response Analysis
24 V Supply
Data Processing
Dynamic Characteristics
System Identification
The information about the approximated transfer
Transfer Function Estimation Comparison
Conclusion
Full Text
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