Title :
System identification of a natural gas engine
Author :
Gangopadhyay, Anupam ; Meckl, Peter
Author_Institution :
Sch. of Mech. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
Simulation results are shown for linear system identification carried out to identify key model parameters of a lean-burn natural gas engine with transmission. The natural gas engine can be described by a nonlinear plant with three states. The dynamic state equations of the model involve parameters that might vary depending on ambient conditions, type of transmission connected to the engine, and parametric variation from engine to engine. Linear system identification is used around an operating point to identify key parameters of the nonlinear model (e.g. engine/transmission inertia) that can be used to tune linear or nonlinear controllers
Keywords :
internal combustion engines; least squares approximations; linear systems; nonlinear control systems; parameter estimation; transfer functions; ambient conditions; dynamic state equations; inertia; lean-burn natural gas engine; linear controllers; linear system; nonlinear controllers; nonlinear plant; transmission; Fuels; Internal combustion engines; Linear systems; Manifolds; Mechanical engineering; Natural gas; Nonlinear dynamical systems; Nonlinear equations; System identification; Vehicle dynamics;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.707357
