Anupam Gangopadhyay

Extracting physical parameters from system identification of a natural gas engine

Simulation results are shown for linear system identification carried out to identify key physical 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 physical parameters of the nonlinear model (e.g., engine/transmission inertia) that can be used to tune linear or nonlinear controllers.

Development of a Rapid Prototyping Controller-based Full-Authority Diesel Engine Controller

A rapid prototyping controller (RPC) based, full-authority, diesel control system is developed, implemented, tested and validated on FTP cycle. As rapid prototyping controller, dSPACE Autobox is coupled with a fast processor based slave for lower level I/O control and a collection of in-house designed interface cards for signal conditioning. The base software set implemented mimics the current production code for a production diesel engine. This is done to facilitate realistic and accurate comparison of production algorithms with new control algorithms to be added on future products. The engine is equipped with all the state-of-the art subsystems found in a modern diesel engine (common rail fuel injection, EGR, Turbocharger etc.).