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A Bond Graph Representation Of An Optimal Control Problem: The Example Of The DC Motor

机译:最佳控制问题的键曲线图表示:直流电机的示例

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Optimization has become of great importance in present day Systems Engineering. Also, bond graph language proves to be a very efficient tool for modelling, analysing and designing mechatronic systems from an energy and dynamic point of view. The idea presented in this paper is to combine an optimization formulation in the optimal control context with bond graph language. The objective is to transpose the optimization problem into bond graph formalism so that its exploitation will solve this optimization problem. This paper, being a primary investigation, restricts itself to an optimal control problem formulation applied to the example of the classical DC motor. Developments are based on the use of Pontryagin's classical Maximum Principle where the cost function is expressed as the integral of a quadratic form of the state space vector and the control input to be determined. This type of expression may correspond to a certain energy loss-minimization. It is shown that the formulation of this optimal control problem in bond graph makes logical use of the adjoint system concept. Later variable mapping enables an augmented bond graph representation of the whole problem to be set up. Finally the bicausality assignment to this augmented bond graph representation furnishes the solution to the optimal control problem under consideration.
机译:在当今系统工程方面,优化具有重要意义。此外,债券图语言证明是一种非常有效的工具,用于从能量和动态的角度来建模,分析和设计机电系统。本文呈现的想法是将优化制定与键盘图语言结合在最佳控制上下文中。目标是将优化问题转换为键曲线形式,以便其开发将解决此优化问题。本文作为主要研究,限制了应用于应用于经典直流电动机的示例的最佳控制问题。开发基于Pontryagin的经典最大原理的使用,其中成本函数表示为状态空间矢量的二次形式的积分和要确定的控制输入。这种类型的表达可以对应于某种能量损失 - 最小化。结果表明,在键盘图中的这种最佳控制问题的制定使得伴随系统概念的逻辑使用。稍后的变量映射使得能够建立整个问题的增强键合图表示。最后,对此增强键的图表表示的生殖性分配提供了对所考虑的最佳控制问题的解决方案。

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