Abstract
Since most processes have nonlinearities, controller design schemes to deal with such systems are required. On the other hand, PID controllers have been widely used for process systems. Therefore, in this chapter, a new design scheme of PID controllers based on a data-driven (DD) technique is explained for nonlinear systems. According to the DD 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 on-line manner even if the system has nonlinear properties and/or time-variant system parameters. Finally, the effectiveness of the data-driven PID control scheme is evaluated on some simulation examples, and a pilot-scale heat process control system.
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Yamamoto, T. (2012). Data-Driven PID Controller. In: Vilanova, R., Visioli, A. (eds) PID Control in the Third Millennium. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-2425-2_17
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DOI: https://doi.org/10.1007/978-1-4471-2425-2_17
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