Verification of New MSC.ADAMS Linearization Capability for Wind Turbine Applications
Verification of New MSC.ADAMS Linearization Capability for Wind Turbine Applications
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DOI：
10.2514/6.2006-785
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发表时间：
2006-01
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影响因子：
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通讯作者：
José Ortiz;G. Bir
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文献类型：
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作者：
José Ortiz;G. Bir
最近,MSC。软件公司实现了一种新的线性化方案，克服了MSC的早期限制。即，它无法正确地线性化具有旋转部件的系统。新的线性化方案具有普遍的适用性；它适当地线性化系统与旋转部件，柔性体，控制系统等。此外，将该方案扩展为根据用户自定义坐标对系统进行线性化；这个特征在旋转动力学中是特别有趣的，在旋转动力学中，线性化和特征解是根据旋转框架中定义的坐标来要求的。由于新的线性化能力的潜在应用，特别是在气动弹性稳定性和控制设计领域，我们验证了其在风力涡轮机上的适用性。为了验证研究，我们使用了从简单的旋转刚性叶片到全柔性非均匀风力涡轮机叶片的一系列模型。我们使用MSC。用于比较研究的NASTRAN和RCAS代码。RCAS（旋翼机综合分析系统）是由NASA/陆军为美国旋翼机工业开发的基于多体有限元的代码。本文首先概述了改进的线性化方案的理论基础。该方案的主要特点是线性方程是解析式的，消除了大多数其他代码使用的时间密集有限差分方法。接下来，我们将展示一些突出成功关联的例子，以及需要进一步注意的领域。
Recently, MSC.Software Corporation implemented a new linearization scheme that overcomes an earlier limitation of MSC.ADAMS, namely, its inability to correctly linearize systems having rotating parts. The new linearization scheme has general applicability; it properly linearizes systems with rotating parts, flexible bodies, control systems, etc. Moreover, the scheme is extended to linearize the system in terms of user-defined coordinates; this feature is of particular interest in rotordynamics where linearizations and eigensolutions are requested in terms of coordinates defined in a rotating frame. Motivated by potential applications of the new linearization capabilities, particularly in the aeroelastic stability and control design areas, we verify its applicability to wind turbines. For verification studies, we use a range of models from a simple rotating rigid blade to a full flexible non uniform wind turbine blade. We use MSC.NASTRAN and RCAS codes for comparative studies. RCAS (Rotorcraft Comprehensive Analysis System) is a multi-body finite-element-based code developed by NASA/Army for the U.S. rotorcraft industry. The paper starts with an overview of the theory underlying the improved linearization scheme. The main feature of this scheme is that the linear equations are analytically formulated, eliminating the use of the timeintensive finite-differencing approach used by most of other codes. Next, we present examples highlighting successful correlations, and areas that need further attention.