A Two-Stage Augmented Extended Kalman Filter as an Observer for Sensorless Valve Control in Camless Internal Combustion Engines

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A Two-Stage Augmented Extended Kalman Filter as an Observer for Sensorless Valve Control in Camless Internal Combustion Engines. / Mercorelli, P.
In: IEEE Transactions on Industrial Electronics, Vol. 59, No. 11, 6177243, 11.2012, p. 4236-4247.

Research output: Journal contributionsJournal articlesResearchpeer-review

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@article{41242d0d0c7c4f13b09955eee46f1dad,
title = "A Two-Stage Augmented Extended Kalman Filter as an Observer for Sensorless Valve Control in Camless Internal Combustion Engines",
abstract = "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.",
keywords = "Camless combustion engine control, Kalman filter, sensorless control, state observer, Arithmetic operations, Combustion engines, Comparative analysis, Efficient estimation, Electromagnetic valves, Experimental setup, Improving efficiency, Measured data, Measurement system, Pumping loss, Real-world application, Robust methods, Sensor less control, Sensorless, State observation, State observer, Valve control, Actuators, Electromagnetism, Fuel economy, Internal combustion engines, Kalman filters, Velocity measurement, Extended Kalman filters, Engineering",
author = "P. Mercorelli",
year = "2012",
month = nov,
doi = "10.1109/TIE.2012.2192892",
language = "English",
volume = "59",
pages = "4236--4247",
journal = "IEEE Transactions on Industrial Electronics",
issn = "0093-9994",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
number = "11",

}

RIS

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 -

DOI