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Self-tuning PID controller using δ-model identification

✍ Scribed by Vladimír Bobál; Martin Sysel; Petr Dostál

Publisher
John Wiley and Sons
Year
2002
Tongue
English
Weight
312 KB
Volume
16
Category
Article
ISSN
0890-6327

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✦ Synopsis

Abstract

This contribution presents an application of a self‐tuning digital PID controller for process control modelled by δ‐models. The process is identified by the regression (ARX) model using the recursive least‐squares method (RLSM) with LD decomposition and applied directional forgetting. Controller synthesis is designed on the basis of a modified Ziegler–Nichols criterion for digital PID control loops. The ultimate (critical) proportional gain and period of oscillations have been derived for the second‐order δ‐model. Control results obtained using digital PID controller on the basic δ‐models and z‐models are compared. Copyright © 2002 John Wiley & Sons, Ltd.

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