Publication

A Real-Time Optimization Framework for the Iterative Controller Tuning Problem

Dominique Bonvin, Grégory François, Gene Bunin
2013
Journal Articles

Abstract

We investigate the general iterative controller tuning (ICT) problem, where the task is to find a set of controller parameters that optimize some user-defined performance metric when the same control task is to be carried out repeatedly. Following a repeatability assumption on the system, we show that the ICT problem may be formulated as a real-time optimization (RTO) problem, thus allowing for the ICT problem to be solved in the RTO framework, which is both very flexible and comes with strong theoretical guarantees. In particular, we propose the use of a recently released RTO solver and outline a simple procedure for how this solver may be configured to solve ICT problems. The effectiveness of the proposed method is illustrated by successfully applying it to four case studies – two experimental and two simulated – that cover the tuning of model-predictive, general fixed-order, and PID controllers, as well as a system of controllers working in parallel.

Official source

https://infoscience.epfl.ch/entities/publication/5186b290-0c66-4dcc-90c7-c06b86de107e

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Dominique Bonvin, Grégory François, Gene Bunin
2013
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/5186b290-0c66-4dcc-90c7-c06b86de107e

About this result

Related concepts (25)

Closed-loop controller

A closed-loop controller or feedback controller is a control loop which incorporates feedback, in contrast to an open-loop controller or non-feedback controller. A closed-loop controller uses feedback to control states or outputs of a dynamical system. Its name comes from the information path in the system: process inputs (e.g., voltage applied to an electric motor) have an effect on the process outputs (e.g., speed or torque of the motor), which is measured with sensors and processed by the controller; the result (the control signal) is "fed back" as input to the process, closing the loop.

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Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criterion, from some set of available alternatives. It is generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from computer science and engineering to operations research and economics, and the development of solution methods has been of interest in mathematics for centuries.

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