论文标题

重新审视经典热力学:系统和控制视角

Classical Thermodynamics Revisited: A Systems and Control Perspective

论文作者

van der Schaft, Arjan

论文摘要

本文的目的是两个方面。首先,要清楚(并脱颖而出)经典热力学的基本概念,从而使热力学在系统建模和控制中的整合。其次,证明系统和控制理论为经典热力学的制定和理解提供了自然背景。这并不奇怪,因为经典的热力学,牢固地扎根于工程学,诸如蒸汽机的最大效率之类的问题,从一开始就与与周围环境相互作用的系统(通过热流,机械工作,物质流动等)进行交互。特别是,将表明,耗散理论是对热力学第一和第二定律的制定和解释的关键。还将强调有关状态特性和热力学系统动力学的几何视图,从而统一并简化了热力学系统的不同表示。另一方面,我还将争辩说,热力学会激发系统和控制中的范式变化。特别是,使用非最小状态空间公式以及对它们的几何视图。此外,尽管系统和控制理论主要基于具有二次成本标准的线性系统,这与电气和机械工程中的基本系统模型(RLC-Circuits,Mass-Spring-Damper Systems等)一致,但热力学需要超越这种线性Quadratic Quadratic paradigm。

The purpose of this paper is two-fold. First, to make clear (and de-mystify) the basic concepts of classical thermodynamics, and thus to enable the integration of thermodynamics within systems modeling and control. Second, to demonstrate that systems and control theory provides a natural context for the formulation and understanding of classical thermodynamics. This is not so surprising since classical thermodynamics, firmly rooted in engineering with questions such as the maximal efficiency of steam engines, deals from the very start with systems in interaction with their surrounding (by heat flow, mechanical work, flow of matter, etc.). In particular, it will be shown that dissipativity theory is key in the formulation and interpretation of the First and Second Law of thermodynamics. Also a geometric view on the state properties and the dynamics of thermodynamic systems will be emphasized, thereby unifying and simplifying different representations of thermodynamic systems. On the other hand, I will also argue that thermodynamics motivates paradigm shifts within systems and control; in particular, the use of non-minimal state space formulations, and a geometric view on them. Furthermore, while systems and control theory has been primarily based on linear systems with quadratic cost criteria, in line with basic system models in electrical and mechanical engineering (RLC-circuits, mass-spring-damper systems, etc.), thermodynamics necessitates to go beyond this linear-quadratic paradigm.

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