Title :
A Kalman Filter for sensorless control of a piezo actuator for camless internal combustion engines
Author :
Hodzic, Kemo ; Mercorelli, Paolo ; Werner, Nils
Author_Institution :
Inst. of Product & Process Innovation (PPI), Leuphana Univ. of Lueneburg, Lueneburg, Germany
Abstract :
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.
Keywords :
Kalman filters; internal combustion engines; piezoelectric actuators; sensorless machine control; Kalman filter; Matlab; Simulink; camless internal combustion engines; electrical actuator; piezoactuator; piezostack; recursive estimation algorithm; reduction ratio; sensorless control; servo piston; voltage 0 V to 1000 V; Actuators; Engines; Equations; Kalman filters; Mathematical model; Pistons; Servomotors;
Conference_Titel :
Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 2014 International Symposium on
Conference_Location :
Ischia
DOI :
10.1109/SPEEDAM.2014.6871957