Title :
Hardware-in-the-Loop Simulation of Robust Gain-Scheduling Control of Port-Fuel-Injection Processes
Author :
White, Andrew ; Zhu, Guoming George ; Choi, Jongeun
Author_Institution :
Dept. of Mech. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
In this paper, an event-based sampled discrete-time linear system representing a port-fuel-injection process based on wall-wetting dynamics is obtained and formulated as a linear parameter varying (LPV) system. The system parameters used in the engine fuel system model are engine speed, temperature, and load. These system parameters can be measured in real time through physical or virtual sensors. A gain-scheduling controller for the obtained LPV system is then designed based on the numerically efficient convex optimization or linear matrix inequality (LMI) technique. A hardware-in-the-loop (HIL) simulation is performed to validate the gain-scheduling controller on a mixed mean-value and crank-based engine model. The HIL simulation results show the effectiveness of the proposed gain-scheduling controller.
Keywords :
convex programming; discrete time systems; engines; fuel systems; gain control; linear matrix inequalities; linear systems; robust control; shafts; wetting; convex optimization; crank-based engine model; engine fuel system model; event-based sampled discrete-time linear system; gain-scheduling controller; hardware-in-the-loop simulation; linear matrix inequality technique; linear parameter varying system; port fuel injection process; robust gain scheduling control; virtual sensors; wall-wetting dynamics; Automotive engineering; Convex functions; Engines; Fuel economy; Internal combustion engines; Robust control; Vehicle dynamics; Engine and powertrain control; LPV control; gain-scheduling control; hardware-in-the-loop (HIL) simulation; robust control;
Journal_Title :
Control Systems Technology, IEEE Transactions on
DOI :
10.1109/TCST.2010.2095420