Estimation in Centrifugal Compressors via Particle Filtering * *This work has been developed in collaboration with ABB S.p.A, which is gratefully acknowledged. Authors would like to also thank the Ministero dell’Universitá e della Ricerca (MIUR) and the National Research Council (CNR) of Italy
| Autor: | Diego Pareschi, A. De Marco, M. Casnedi, Sergio Bittanti, A. Pochiero, Simone Garatti, Luigi Bisone |
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| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Engineering business.industry Centrifugal compressor Control engineering 02 engineering and technology 01 natural sciences Turbine Power (physics) 010104 statistics & probability 020901 industrial engineering & automation Control and Systems Engineering Key (cryptography) 0101 mathematics business Focus (optics) Particle filter Gas compressor Turbocharger |
| Zdroj: | IFAC-PapersOnLine. 50:3865-3870 |
| ISSN: | 2405-8963 |
| DOI: | 10.1016/j.ifacol.2017.08.357 |
| Popis: | A turbocharger is a fundamental device to improve power of internal combustion engines. In this paper, we focus on plants constituted by two turbochargers, each of which composed by the centrifugal compressor and the turbine, working together. In order to ensure the reliable and efficient operation of the turbochargers, new maintenance strategies are being developed, often based on the continuous measurement and monitoring of key variables. To this purpose, a model, which can be constructed from first principles, is a fundamental tool. However, some main variables are not accessible, posing an estimation problem. Herein, an innovative approach based on particle filtering is proposed. Its validity is assessed through experimental results reported in the paper. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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