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Advanced control algorithms embedded in a programmable logic controller
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DOI：10.1016/j.conengprac.2005.05.006.png)
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Abstract
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This paper presents an innovative self-tuning nonlinear controller ASPECT (advanced control algorithms for programmable logic controllers). It is intended for the control of highly nonlinear processes whose properties change radically over its range of operation, and includes three advanced control algorithms. It is designed using the concepts of agent-based systems, applied with the aim of automating some of the configuration tasks. The process is represented by a set of low-order local linear models whose parameters are identified using an online learning procedure. This procedure combines model identification with pre- and post-identification steps to provide reliable operation. The controller monitors and evaluates the control performance of the closed-loop system. The controller was implemented on a programmable logic controller (PLC). The performance is illustrated on a field test application for control of pressure on a hydraulic valve. (c) 2005 Elsevier Ltd. All rights reserved.
Keywords:
control engineering
fuzzy modelling
industrial control
model-based control
nonlinear control
programmable logic controllers
self-tuning regulators
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