A Two-Stage Augmented Extended Kalman Filter as an Observer for Sensorless Valve Control in Camless Internal Combustion Engines
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In: IEEE Transactions on Industrial Electronics, Vol. 59, No. 11, 6177243, 11.2012, p. 4236-4247.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - A Two-Stage Augmented Extended Kalman Filter as an Observer for Sensorless Valve Control in Camless Internal Combustion Engines
AU - Mercorelli, P.
PY - 2012/11
Y1 - 2012/11
N2 - Camless internal combustion engines offer improvements over traditional engines in terms of improved torque performance and fuel economy, lower emissions, and pumping losses. Theoretically, their control flexibility provides electromagnetic valve actuators with the highest potential for improving efficiency. Sensorless control is one of the most important issues when implementing this new technology. The main contribution of this paper is a proposed observer comprising an augmented extended Kalman filter (EKF) and another EKF, which results in a sensorless control. The observer estimates the inductance of the actuator, which may vary. The proposed combination achieves a numerically efficient estimation. The proposed state observation structure avoids bulky and complicated measurement systems, which is an important advancement for real world applications. The introduced method is general and can be applied to problems in which it is not feasible or affordable to obtain position and velocity measurements. The current is measured, the position and the velocity of the electromagnetic valve are estimated with a robust method. The effectiveness of the proposed method is demonstrated using measured data acquired from an experimental setup based on an innovative electromagnetic valve actuator. A detailed comparative analysis of the arithmetic operations of the algorithm is also reported.
AB - Camless internal combustion engines offer improvements over traditional engines in terms of improved torque performance and fuel economy, lower emissions, and pumping losses. Theoretically, their control flexibility provides electromagnetic valve actuators with the highest potential for improving efficiency. Sensorless control is one of the most important issues when implementing this new technology. The main contribution of this paper is a proposed observer comprising an augmented extended Kalman filter (EKF) and another EKF, which results in a sensorless control. The observer estimates the inductance of the actuator, which may vary. The proposed combination achieves a numerically efficient estimation. The proposed state observation structure avoids bulky and complicated measurement systems, which is an important advancement for real world applications. The introduced method is general and can be applied to problems in which it is not feasible or affordable to obtain position and velocity measurements. The current is measured, the position and the velocity of the electromagnetic valve are estimated with a robust method. The effectiveness of the proposed method is demonstrated using measured data acquired from an experimental setup based on an innovative electromagnetic valve actuator. A detailed comparative analysis of the arithmetic operations of the algorithm is also reported.
KW - Camless combustion engine control
KW - Kalman filter
KW - sensorless control
KW - state observer
KW - Arithmetic operations
KW - Combustion engines
KW - Comparative analysis
KW - Efficient estimation
KW - Electromagnetic valves
KW - Experimental setup
KW - Improving efficiency
KW - Measured data
KW - Measurement system
KW - Pumping loss
KW - Real-world application
KW - Robust methods
KW - Sensor less control
KW - Sensorless
KW - State observation
KW - State observer
KW - Valve control
KW - Actuators
KW - Electromagnetism
KW - Fuel economy
KW - Internal combustion engines
KW - Kalman filters
KW - Velocity measurement
KW - Extended Kalman filters
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=84862992458&partnerID=8YFLogxK
U2 - 10.1109/TIE.2012.2192892
DO - 10.1109/TIE.2012.2192892
M3 - Journal articles
VL - 59
SP - 4236
EP - 4247
JO - IEEE Transactions on Industrial Electronics
JF - IEEE Transactions on Industrial Electronics
SN - 0093-9994
IS - 11
M1 - 6177243
ER -