Profit Control: A New Paradigm in Control System Design

Chmielewski 0967906智力优点：自从反馈控制开始以来，控制系统性能（在调节意义上）和工厂的时间平均利润（这是标称操作条件的函数）之间一直存在着强烈但模糊的关系。利润控制背后的变革性概念是量化这种关系的简单概念，这将使控制系统设计，同时最大限度地提高工厂利润。这种方法代表了控制器合成中的范式转变，因为所生成的控制器将不仅针对工厂的动态，而且针对特定的经济情况进行定制。该项目有两个目标。首先，PI将扩展该方案的理论基础，以包括以下扰动类：非平稳（或稳态）扰动、模型不确定性和峰峰值测量。其结果将是一个统一的方法，同时解决新的干扰类以及原来的随机（或H2）干扰。整个计划将由实时优化（RTO）文献中常见的经济性能指标指导：从RTO建议的工作点中最小化回退工作点的概念。第二个目标是将利润控制应用于各种学科的系统。这些措施包括：多产品、多级供应链问题（管理科学）、流化催化裂化装置（化学过程）和混合动力电动汽车的动力系统（电气系统）。这些应用研究将说明这种方法的广泛性和适用性。更广泛的影响：该项目的更广泛的方面有三个方面：多学科互动，学生推广和软件传播。由于所涵盖的主题范围广泛，实现主要项目目标将需要多学科的投入。因此，已经安排了与外地人员的合作。PI计划招收所有背景，性别和种族的研究生和本科生。为了广泛传播这项技术，将开发一种软件工具，供那些精通控制理论但不熟悉线性矩阵不等式和分支定界计算的人使用，并通过互联网免费分发。

Chmielewski 0967906Intellectual Merit: Since the inception of feedback control, there has always been a strong, but vague, relationship between control system performance (in a regulatory sense) and the time-averaged profit of the plant (which is a function of nominal operating conditions). The transformative concept underlying Profit Control is the simple notion of quantifying this relationship, which will enable control system design while simultaneously maximizing plant profit. Such an approach represents a paradigm shift in controller synthesis, in that the generated controllers will be tailored not only to the dynamics of the plant but also to the specific economic situation. The project objectives are twofold. First, the PI will extend the theoretical foundation of the scheme to include the following disturbance classes: non-stationary (or steady-state) disturbances, model uncertainty and peak-to-peak measures. The result will be a unified approach that simultaneously addresses the new disturbance classes as well as the original stochastic (or H2) disturbances. The entire scheme will be guided by a measure of economic performance common to the Real-Time Optimization (RTO) literature: the notion of minimizing the backed-off operating point from that suggested by the RTO. The second objective is to apply Profit Control to systems from a variety of disciplines. These include; the multi-product, multi-echelon supply chain problem (management science), a fluidized catalytic cracking unit (chemical processes), and the power system of a hybrid electric vehicle (electrical systems). These application studies will illustrate the broad and applicability of this approach. Broader Impact: The broader aspects of the project are threefold; multidisciplinary interaction, student outreach and software dissemination. Due to the broad spectrum of topics covered, achievement of the primary project objectives will require multidisciplinary input. As such, collaborations with individuals from outside the field have been scheduled. The PI is planning to recruit both graduate and undergraduate students of all backgrounds, genders and ethnicities. Toward broad dissemination of the technology, a software tool aimed at those versed in control theory, but non-experts in linear matrix inequalities and branch-and-bound calculations, will be developed and freely distributed via the internet.