Turbocharger Map Reduction for Control-Oriented Modeling
Models of the gas exchange process in modern diesel engines typically use manufacturer-provided maps to describe mass flows through, and efficiencies of, the turbine and compressor based on pressure ratios across the turbine and compressor, as well as the turbocharger shaft speed, and in the case of...
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Veröffentlicht in: | Journal of dynamic systems, measurement, and control measurement, and control, 2014-07, Vol.136 (4) |
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creator | Stricker, Karla Kocher, Lyle Koeberlein, Ed Van Alstine, D. G Shaver, Gregory M |
description | Models of the gas exchange process in modern diesel engines typically use manufacturer-provided maps to describe mass flows through, and efficiencies of, the turbine and compressor based on pressure ratios across the turbine and compressor, as well as the turbocharger shaft speed, and in the case of variable-geometry turbochargers, the nozzle position. These look-up maps require multiple interpolations to produce the necessary information for turbocharger performance, and are undesirable when modeling for estimation and control. There have been several previous efforts to reduce dependence on maps with general success, yet many of these approaches remain complex and are not easily integrated into engine control systems. The focus of this paper is the reduction of turbomachinery maps to analytical functions that are amenable to estimator and control design, and have been validated against manufacturer-provided turbomachinery data. |
doi_str_mv | 10.1115/1.4026532 |
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The focus of this paper is the reduction of turbomachinery maps to analytical functions that are amenable to estimator and control design, and have been validated against manufacturer-provided turbomachinery data.</description><subject>Compressors</subject><subject>Dynamical systems</subject><subject>Dynamics</subject><subject>Mathematical models</subject><subject>Reduction</subject><subject>Turbines</subject><subject>Turbochargers</subject><subject>Turbomachinery</subject><issn>0022-0434</issn><issn>1528-9028</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNotkD1PwzAURS0EEqUwMLNkhCHF79mOnRFVfEmtKqEyW67zXILSuNjJwL-nqJ3ucnSlcxi7BT4DAPUIM8mxUgLP2AQUmrLmaM7ZhHPEkkshL9lVzt-cgxCqmjCzHtMm-i-XtpSKpdsXH9SMfmhjX4SYinnshxS7cpVa6gdqimVsqGv77TW7CK7LdHPaKft8eV7P38rF6vV9_rQoHRocSqUdeF0Z1EDBKOnBN7puhNTSu1orLZHLUAkU0NRBbtAJJAyVpo0Bb7iYsvvj7z7Fn5HyYHdt9tR1rqc4Zgtac1Hp-uA8ZQ9H1KeYc6Jg96ndufRrgdv_Ohbsqc6BvTuyLu_Ifscx9QcLKzTUIMUfueVd1g</recordid><startdate>20140701</startdate><enddate>20140701</enddate><creator>Stricker, Karla</creator><creator>Kocher, Lyle</creator><creator>Koeberlein, Ed</creator><creator>Van Alstine, D. 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There have been several previous efforts to reduce dependence on maps with general success, yet many of these approaches remain complex and are not easily integrated into engine control systems. The focus of this paper is the reduction of turbomachinery maps to analytical functions that are amenable to estimator and control design, and have been validated against manufacturer-provided turbomachinery data.</abstract><pub>ASME</pub><doi>10.1115/1.4026532</doi></addata></record> |
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source | ASME Digital Collection Journals; Alma/SFX Local Collection |
subjects | Compressors Dynamical systems Dynamics Mathematical models Reduction Turbines Turbochargers Turbomachinery |
title | Turbocharger Map Reduction for Control-Oriented Modeling |
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