Real-Time optimization as a feedback control problem – A review
Dinesh Krishnamoorthy, Sigurd Skogestad
Abstract
Feedback optimizing control aims to achieve asymptotic optimal operation by directly manipulating the inputs using feedback controllers, without the need to solve numerical optimization problems online. The main question when designing feedback optimizing control is then what to control such that the economic objectives are translated into control objectives. Over the past two decades, active research has resulted in several different approaches to feedback optimizing control stemming from different application areas, leading to a rich source of literature. The different methods differ on the choice of the controlled variables, the need for detailed process models, type of measurements used, convergence speed, accuracy, ease of implementation etc. This paper aims to provide a survey of these different approaches under the unified umbrella of feedback optimizing control, and provides an overview and comparison of the different feedback-based real-time optimization approaches for continuous processes.