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Model reference identification of state space models for a double effect evaporator
Author(s) -
Chintapalli Prasad,
Seborg Dale E.,
Fisher D. Grant
Publication year - 1977
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.5450550218
Subject(s) - evaporator , reference model , state space , state space representation , identification (biology) , control theory (sociology) , noise (video) , computer science , system identification , model parameter , basis (linear algebra) , reference data , space (punctuation) , mathematics , algorithm , engineering , statistics , data modeling , data mining , mechanical engineering , artificial intelligence , geometry , control (management) , image (mathematics) , botany , heat exchanger , software engineering , database , biology , operating system
A model reference identification technique is used to develop state space models of a double effect evaporator from experimental and simulated data. The model reference technique is based on a Liapunov design approach and is successfully used to estimate coefficient matrices containing 18 parameters in a third order model and 40 parameters in a fifth order model. However, in this application the success of the model reference technique required low measurement noise levels and a judicious choice of design parameters.