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Conference Paper (international conference)

Optimized 8-Parameter Relay-Based Delayed Thermal Process Model Identification via Saturated Relay and Artificial Delay

Pekař L., Kuklišová Pavelková Lenka, Matušů R.

: Data Science and Algorithms in Systems. CoMeSySo 2022, p. 118-131 , Eds: Šilhavý R., Šilhavý P., Prokopová Z.

: Computational Methods in Systems and Software (CoMeSySo) 2022, (online, CZ, 20221010)

: Artificial delay, Infinite-dimensional model, Nelder-Mead algorithm, Relay-based identification

: 10.1007/978-3-031-21438-7_10

(eng): This study aims at an extension and substantial improvement of the recently published relay-feedback parameter identification of an infinite-dimensional system thermal process model. The original procedure\nhas applied the standard on/off relay to get a simplified model. Then, the dominant pole assignment has given rise to the process model characteristic quasi-polynomial via the Levenberg-Marquardt algorithm.\nFinally, the same optimization tool has been used to determine transfer function numerator parameters. On the contrary, a saturated relay is used to receive an improved initial simplified-model estimation in this\ncontribution. As the process model in question has eight unknown parameters, a doubled relay test with artificial delay is made, which enables the estimation of all the parameters simultaneously. Moreover, the\nNelder-Mead algorithm is used as the optimization tool. A numerical example validates an enhanced estimation in time and frequency domains.

: BD

: 20205