A Software Tool for Automatic Identification of Dynamic Models

Abstract:

This paper presents a software tool developed for aiding the identification process of dynamic systems. This first version of the tool allows the user to generate excitation signals that are suitable for each kind of plant and also to automatically treat the raw process data in order to identify different types of models, which may include multiple-input and multiple-output (MIMO) and nonlinear behaviors. The potential of the tool is illustrated by performing the identification process of an industrial test stand for the energetic performance evaluation of refrigerant compressors. The results compare linear and nonlinear models for the process around an operating point and show that the proposed tool provides good results even for this nontrivial MIMO process, which presents dead times and other nonlinearities.

• Periodical: Advanced Materials Research (Volumes 875-877)
• Pages: 2254-2258
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.875-877.2254
• Online since: February 2014
• Authors: Bruno C. Gianni, João B.A. Hatem, Julio E. Normey-Rico, Rodolfo C.C. Flesch, Augustinho Plucênio
• Keywords: Automatic Identification, Dynamic Systems, Energetic Performance Evaluation of Refrigerant Compressors, Process Identification, Software Tools

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