Title :
UKF-based estimation of indicated torque for IC engines utilizing nonlinear two-inertia model
Author :
Itoh, Yoshio ; Higashi, K. ; Iwase, Masami
Author_Institution :
Dept. of Robot. & Mechatron., Tokyo Denki Univ., Tokyo, Japan
Abstract :
The estimation of the indicated torque for internal combustion (IC) engines is important for control, diagnosis and performance evaluation. If adequate sensors were available for pressure measurement in each cylinder, the indicated torque estimation would be easier. Those sensors, however, cannot be utilized generally from cost and installation space viewpoints. Hence, this paper considers an indicated torque estimation method utilizing only the crank-shaft angle information, which can be obtained even for commercial cars, instead of pressure sensors. The use of the crankshaft angle causes a problem that an unexpected vibration contaminating the angle information deteriorates the torque estimation accuracy because vibration frequency is relatively close to the combustion cycle. Thus, the engine torque estimation can be formulated as an observer design under model uncertainty and nonlinearity. In addition, this observer design problem is classified into an unknown input observer design because the engine torque or the combustion pressure as input to the engine system cannot be measured directly. To solve the design problem, this paper proposes the introduction of a nonlinear two-inertia model to catch the unexpected vibration, and an UKF-based I-type disturbance observer to estimate the indicated torque and the system state. The effectiveness of the proposed method is verified through experiments.
Keywords :
Kalman filters; automobiles; control nonlinearities; internal combustion engines; nonlinear control systems; nonlinear filters; observers; pressure measurement; torque control; uncertain systems; vibration control; IC engines; UKF-based I-type disturbance observer; UKF-based estimation; automobile emission improvement; combustion cycle; crank-shaft angle information; driving response improvement; engine torque estimation; fuel efficiency improvement; indicated torque estimation method; internal combustion engines; model nonlinearity; model uncertainty; nonlinear two-inertia model; performance evaluation; pressure measurement; ride improvement; safety improvement; system state estimation; unexpected vibration frequency; unknown input observer design; unscented Kalman filter; Combustion; Engines; Mathematical model; Observers; Sensors; Torque;
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2012.6425865