Browse Topic: Electrohydraulics

Items (17)
Nonlinear Iterative Optimization Process for Multichannel Remote Parameter Control10-03-03-001510/14/2019
In this article, compared with traditional Remote Parameter Control (RPC), the iterative process is improved based on linear transfer function (TF) estimation of the nonlinear dynamic system. In the improved RPC, the iteration coefficient is designed according to the convergence condition of the nonlinear iterative process, so that the convergence level, convergence speed, and iteration stability could be improved. The difference between the traditional and the improved RPC iterative process is discussed, the RPC iterative process of the nonlinear system is analyzed, and channel decoupling for Multi-Input Multi-Output (MIMO) system based on eigen-decomposition of the system TF and linear TF estimation is introduced. It assumes that the eigenvector matrix of the system TF remains the same, and the linear TF in the iterative process is estimated and updated, which is used for iterative calculation. The method for iteration coefficient is designed according to the nonlinear system convergence condition of the iterative process. The whole theory is verified on a two-channel electrohydraulic servo system and a lightweight motorcycle. The optimization strategy can be used not only for motorcycles but also for general dynamic systems with the same number of inputs and outputs. The experiment results show that the improved RPC is superior to the traditional RPC in the convergence level, convergence speed, and iteration stability. The improved algorithm makes the iterative process more effective, faster, and more stable. In the practical application of RPC, the results can be reproduced better, as well as the time and manpower can be saved.
Li, MengZhang, Yong
Sauer-Danfoss - Managing tomorrow's big challenges with today's limited resources10OFHD0803_108/3/2010
Executive Viewpoints-Vehicle Development Insights from Industry: Driving Factors for Future Innovation. While dealing with the unpleasant results of the last year, engineering teams also undoubtedly looked toward the future-most specifically, at new regulations that are in place or on the near horizon. New EU functional safety standards, the advent of Tier 4 in the U.S. and Stage IV in Europe, and the continuing end-user demands of a better operator experience are all compelling events that must be addressed. On top of (or perhaps in spite of) these new regulations, customers demand these machines more quickly than ever, and OEM senior management teams require machines that differentiate themselves in the market. Even through these tough times, Sauer-Danfoss has been working as part of our customers' development teams to take on these big challenges. Despite the downturn, our test lab and research work has continued. We've taken a vehicle-by-vehicle approach to expand our applications and vehicle systems knowledge, tackling these new regulations while maintaining efficiency and total vehicle performance. Our goal is to deliver system solutions and flexible products that greatly reduce the engineering effort required by our customers to meet these challenges. We are doing this by designing products that simplify system integration, validating standard system design solutions in our test labs, and developing standardized control software solutions that allow engineers to improve both systems performance and operator experience.
Weston, Marc
Variability Analysis of Precision Mechanical Devices6406171/1/1964
An analytical method has been developed for estimating variability in the performance of a precision mechanical device that arises from variability of its internal parameters. This parameter variability is due both to initial in-tolerance variations and to subsequent environmental and time-dependent effects. A mathematical model of the device is formulated to define the relationships between individual parameters and various performance characteristics. This model is then manipulated on either an analog or a digital computer to permit calculation of partial derivatives of performance characteristics with respect to internal parameters. These partials are used in evaluating the Propagation of Variance formula, a mathematical statement that relates performance variance (an index of variability) to parameter variances (which must be known) and to the partial derivatives. This analytical approach is called the Moment method because it makes use of the mean and variance, the first two moments of the parameter value frequency distributions. The output of this type of analysis is extremely useful to the designer, for it tells him directly which parameters are most critical in determining the performance of the device, and it guides him in making necessary design modifications to reduce variability in performance. The Moment method is illustrated by application to the variability analysis of a two-stage electrohydraulic servo valve.
Mesloh, R. E.Mark, D. G.
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