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Linear parameter varying modeling and identification for real-time control of open-flow irrigation canals

机译:开放式灌溉渠道实时控制的线性参数变化建模与识别

摘要

Irrigation canals are open-flow water hydraulic systems, whose objective is mainly to convey water from its source down to its final users. They are large distributed systems characterized by non-linearity anduddynamic behavior that depends on the operating point. Moreover, in canals with multiple reaches dynamic behavior is highly affected by the coupling among them. The physical model for those systems leads to a distributed-parameter model whose description usually requires partial differential equations (PDEs). However, the solution and parameter estimation of those PDE equations can only be obtained numerically and imply quite time-consuming computations that make them not suitable for real-time control purposes. Alternatively, in this paper, it will be shown that open-flow canal systems can be suitably represented for control purposes by using linear parameter-varying (LPV) models. The advantage of this approach compared to the use of PDE equation is that allows simpler models which are suitable for control design and whose parameters can be easily identified from inputeoutput data by means of classical identification techniques. In this paper, the well-known control-oriented, model named integral delay zero (IDZ), that is able to represent the canal dynamics around a given operating point by means of a linear time-invariant (LTI) model is extended to multiple operating points by means of an LPV model. The derivation of this LPV model for single-reach open-flow canal systems as well as its extension to multiple-reach open-flow canals is proposed. In particular, the proposed methodology allows deriving the model structure and estimating model parameters using data by means of identification techniques. Thus, a gray-box control model is obtained whose validation is carried out using single-pool and two-pool test canals obtaining satisfactory results.
机译:灌溉渠为开水式水力系统,其目的主要是将水从水源向下输送到最终用户。它们是大型分布式系统,其特征在于取决于操作点的非线性和动态特性。此外,在具有多个河段的运河中,动力行为受它们之间的耦合影响很大。这些系统的物理模型导致了分布参数模型,其描述通常需要偏微分方程(PDE)。但是,这些PDE方程的解和参数估计只能通过数字方式获得,这意味着非常耗时的计算,因此不适合实时控制。或者,在本文中,将显示通过使用线性参数变化(LPV)模型可以适当地表示开放水渠系统以进行控制。与使用PDE方程相比,此方法的优点是允许使用更简单的模型,这些模型适用于控制设计,并且可以通过经典识别技术轻松地从输入输出数据中识别出其参数。在本文中,著名的面向控制的模型,称为零时延积分(IDZ),该模型能够通过线性时不变(LTI)模型来表示给定操作点周围的运河动力学,并将其扩展为多个通过LPV模型确定工作点。提出了该LPV模型在单向开水渠系统中的推导以及对多向开水渠系统的扩展。特别地,所提出的方法允许通过识别技术使用数据来推导模型结构和估计模型参数。因此,获得了灰箱控制模型,其使用单池和两池测试渠进行了验证,并获得了满意的结果。

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