Nichtlineare Regelung von verstellbaren eigenversorgten Axialkolbenpumpen (Nonlinear Control of Variable-displacement Self-supplied Axial Piston Pumps)

2007 ◽  
Vol 55 (2) ◽  
Author(s):  
Franz Fuchshumer ◽  
Wolfgang Kemmetmüller ◽  
Andreas Kugi
Keyword(s):  
Nonlinear Control ◽  
Axial Piston Pumps ◽  
Nichtlineare Regelung ◽  
Variable Displacement ◽  
Axial Piston

Nonlinear control of a variable displacement axial piston pump

PAMM ◽  
2006 ◽  
Vol 6 (1) ◽  
pp. 805-806
Author(s):  
Franz Fuchshumer ◽  
Andreas Kugi
Keyword(s):  
Nonlinear Control ◽  
Piston Pump ◽  
Axial Piston Pump ◽  
Variable Displacement ◽  
Axial Piston

Modelling a Variable Displacement Axial Piston Pump in a Multibody Simulation Environment

2006 ◽  
Vol 129 (4) ◽  
pp. 456-468 ◽  
Author(s):  
Alessandro Roccatello ◽  
Salvatore Mancò ◽  
Nicola Nervegna
Keyword(s):  
Power Systems ◽  
Three Dimensional ◽  
Fluid Power ◽  
Piston Pump ◽  
Axial Piston Pump ◽  
Axial Piston Pumps ◽  
Variable Displacement ◽  
Complex Fluid ◽  
Fluid Power Systems ◽  
Axial Piston

Analysis of a variable displacement axial piston pump, as in other complex fluid power and mechanical systems, requires appropriate insight into three multidisciplinary domains, i.e., hydraulics, mechanics and tribology. In recent years, at FPRL, modelling of axial piston pumps has evolved in AMESim (one-dimensional code) where a three-dimensional mechanical approach has required generation of proprietary libraries leading to the evaluation of internal forces/reactions in all pump subsystems. Tribologic aspects in axial piston pumps modelling are also being investigated but AMESim, in this respect, does not appear as the appropriate computational environment. Consequently, a new approach has been initiated grounded on MSC.ADAMS. In this perspective, the paper details how the model has been developed through proprietary macros that automatically originate all pump subsystems parametrically and further apply required constraints and forces (springs, contacts and pressure forces). The ADAMS environment has also been selected due to co-simulation capabilities with AMESim. Accordingly, the paper elucidates how the entire modelling has been construed where hydraulics is managed in AMESim while ADAMS takes care of mechanics. A comparison between simulated and experimental steady-state characteristics of the axial pump is also presented. As such this paper indicates an innovative methodology for the analysis of complex fluid power systems in the hope that, eventually, tribology will also fit into the scene.

scholarly journals A Methodology Based on Cyclostationary Analysis for Fault Detection of Hydraulic Axial Piston Pumps

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1874 ◽  
Author(s):  
Paolo Casoli ◽  
Andrea Bedotti ◽  
Federico Campanini ◽  
Mirko Pastori
Keyword(s):  
Power Systems ◽  
Operating Conditions ◽  
Fault Identification ◽  
Hydraulic Systems ◽  
Axial Piston Pumps ◽  
Data Driven Approach ◽  
Variable Displacement ◽  
Fluid Power Systems ◽  
Axial Piston ◽  
Acceleration Signals

Condition monitoring has been an active area of research in many industrial fields during the last decades, particularly in fluid power systems. This paper presents a solution for the fault diagnosis of a variable displacement axial-piston pump, which is a critical component in many hydraulic systems. The proposed methodology follows a data-driven approach including data acquisition and feature extraction and is based on the analysis of acceleration signals through the theory of cyclostationarity. An experimental campaign was carried out on a laboratory test bench with the pump in the flawless state and in faulty states. Different operating conditions were considered and each test was repeated several times in order to acquire a suitable population to verify data repeatability. Results showed the capability of the proposed approach of detecting a typical fault related to worn slippers. Future works will include tests in order to apply the approach to a wider set of faults and the development of a classifier for accurate fault identification.

Adaptive and Nonlinear Control of Discharge Pressure for Variable Displacement Axial Piston Pumps

2017 ◽  
Vol 139 (10) ◽  
Author(s):  
Janne Koivumäki ◽  
Jouni Mattila
Keyword(s):  
Controller Design ◽  
Design Method ◽  
Pressure Control ◽  
Feedback Signal ◽  
Hydraulic Systems ◽  
Axial Piston Pumps ◽  
Highly Nonlinear ◽  
Variable Displacement ◽  
Discharge Pressure ◽  
Axial Piston

This paper proposes, for the first time without using any linearization or order reduction, an adaptive and model-based discharge pressure control design for the variable displacement axial piston pumps (VDAPPs), whose dynamical behaviors are highly nonlinear and can be described by a fourth-order differential equation. The rigorous stability proof, with an asymptotic convergence, is given for the entire system. In the proposed novel controller design method, the specifically designed stabilizing terms constitute an essential core to cancel out all the stability-preventing terms. The experimental results reveal that rapid parameter adaptation significantly improves the feedback signal tracking precision compared to a known-parameter controller design. In the comparative experiments, the adaptive controller design demonstrates the state-of-the-art discharge pressure control performance, enabling a possibility for energy consumption reductions in hydraulic systems driven with VDAPP.

scholarly journals A Vibration Signal-Based Method for Fault Identification and Classification in Hydraulic Axial Piston Pumps

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 953 ◽  
Author(s):  
Paolo Casoli ◽  
Mirko Pastori ◽  
Fabio Scolari ◽  
Massimo Rundo
Keyword(s):  
Vibration Signal ◽  
Computational Effort ◽  
Classification Algorithm ◽  
Condition Based Maintenance ◽  
Fault Identification ◽  
Health State ◽  
Vibration Signals ◽  
Axial Piston Pumps ◽  
Variable Displacement ◽  
Axial Piston

In recent years, the interest of industry towards condition-based maintenance, substituting traditional time-based maintenance, is growing. Indeed, condition-based maintenance can increase the system uptime with a consequent economic advantage. In this paper, a solution to detect the health state of a variable displacement axial-piston pump based on vibration signals is proposed. The pump was tested on the test bench in different operating points, both in healthy and faulty conditions, the latter obtained by assembling damaged components in the pump. The vibration signals were acquired and exploited to extract features for fault identification. After the extraction, the obtained features were reduced to decrease the computational effort and used to train different types of classifiers. The classification algorithm that presents the greater accuracy with reduced features was identified. The analysis has also showed that using the time sampling raw signal, a satisfying accuracy could be obtained, which will permit onboard implementation. Results have shown the capability of the algorithm to identify which fault occurred in the system (fault identification) for each working condition. In future works, the classification algorithm will be implemented onboard to validate its effectiveness for the online identification of the typical incipient faults in axial-piston pumps.

A Survey of Approaches for Fault Diagnosis in Axial Piston Pumps

2016 ◽  
Author(s):  
Jessica Gissella Maradey Lázaro ◽  
Carlos Borrás Pinilla ◽  
Sebastian Roa Prada
Keyword(s):  
Fault Diagnosis ◽  
Power Systems ◽  
High Pressures ◽  
High Capacity ◽  
Support Vector ◽  
Axial Piston Pumps ◽  
Variable Displacement ◽  
Fluid Power Systems ◽  
Productivity And Competitiveness ◽  
Axial Piston

Axial piston variable displacement pumps (VDAP) are the heart of every hydraulic system, and are they commonly used in the industry for its high capacity, efficiency (volume and total), and good performance in the handling of high pressures and speeds. Faults are usually associated with wear and leakage processes, which cause significant decreases in performance. This paper discusses about the advantages to implement a Condition-based Maintenance (CBM) and the use of techniques of fault diagnosis in axial variable displacement piston pumps (VDAP), as they are: Neural Networks (NN), Support Vector Machine (SVM) and Fuzzy Logic (FL) and other hybrid models. The results of this investigation provide guidelines for the selection of the most suitable technique to prevent faults in VDAP in order to help reducing down time, increase productivity and competitiveness of companies that requires the use of fluid power systems by enabling the implementation of a non-intrusive fault diagnosis management system, which must be reliable, economical and easily accessible to the industry.

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