Design of a Data-Driven PID Controller

doi:10.1109/TCST.2008.921808

Design of a Data-Driven PID Controller

2009-01-01

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DOI：10.1109/TCST.2008.921808

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Abstract

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Since most processes have nonlinearities, controller design schemes to deal with such systems are required. On the other hand, proportional-integral-derivative (PID) controllers have been widely used for process systems. Therefore, in this paper, a new design scheme of PID controllers based on a data-driven (DD) technique is proposed for nonlinear systems. According to the DID technique, a suitable set of PID parameters is automatically generated based on input/output data pairs of the controlled object stored in the database. This scheme can adjust the PID parameters in an online manner even if the system has nonlinear properties and/or time-variant system parameters. Finally, the effectiveness of the newly proposed control scheme is evaluated on some simulation examples, and a pilot-scale temperature control system.

Keywords:

Database

nonlinear control

proportional-integral-derivative (PID) control

process control

self-tuning control

Design of a Data-Driven PID Controller

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