A Kalman Filter for sensorless control of a piezo actuator for camless internal combustion engines
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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A Kalman Filter for sensorless control of a piezo actuator for camless internal combustion engines. / Hodzic, Kemo; Mercorelli, Paolo; Werner, Nils.
2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014. IEEE - Institute of Electrical and Electronics Engineers Inc., 2014. S. 1225-1230 6871957 (2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014).Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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TY - CHAP
T1 - A Kalman Filter for sensorless control of a piezo actuator for camless internal combustion engines
AU - Hodzic, Kemo
AU - Mercorelli, Paolo
AU - Werner, Nils
PY - 2014
Y1 - 2014
N2 - This paper deals with an actuator composed by a piezo and a servo piston and a Kalman Filter structure for camless engine motor applications. The considered system is assumed to be linear. The electrical actuator is realized with a piezostack which operates between 0-1000 V. The piezostack is connected through an reduction ratio with the servo piston, this link causes the mechanical movement of the servo piston. This paper will show measured velocity and position of the piston - shown by real simulation data- and simultaneously the estimated data which were calculated and simulated with MATLAB/Simulink, by the recursive estimation algorithm by R. E. Kalman. © 2014 IEEE.
AB - This paper deals with an actuator composed by a piezo and a servo piston and a Kalman Filter structure for camless engine motor applications. The considered system is assumed to be linear. The electrical actuator is realized with a piezostack which operates between 0-1000 V. The piezostack is connected through an reduction ratio with the servo piston, this link causes the mechanical movement of the servo piston. This paper will show measured velocity and position of the piston - shown by real simulation data- and simultaneously the estimated data which were calculated and simulated with MATLAB/Simulink, by the recursive estimation algorithm by R. E. Kalman. © 2014 IEEE.
KW - Engineering
KW - Internal combustion engines
KW - Kalman filters
KW - Pistons
KW - Power electronics
KW - Electrical actuators
KW - Filter structures
KW - MATLAB /simulink
KW - Mechanical movements
KW - Motor applications
KW - Recursive estimation
KW - Reduction ratios
KW - Sensor less control
KW - Digital storage
UR - http://www.scopus.com/inward/record.url?scp=84906672714&partnerID=8YFLogxK
U2 - 10.1109/SPEEDAM.2014.6871957
DO - 10.1109/SPEEDAM.2014.6871957
M3 - Article in conference proceedings
SN - 9781479947492
T3 - 2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014
SP - 1225
EP - 1230
BT - 2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014
PB - IEEE - Institute of Electrical and Electronics Engineers Inc.
T2 - International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014
Y2 - 18 June 2014 through 20 June 2014
ER -