Idle speed control using linear time varying model predictive control and discrete time approximations
R Sharma, D Nesic, C Manzie
2010 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS | IEEE | Published : 2010
This paper addresses the problem of idle speed control of hydrogen fueled internal combustion engine (H2ICE) using model predictive control (MPC) and sampled data control (SDC) theories. In the first step, results from SDC theory and a version of MPC are collectively employed to obtain a rigorously developed new generic control strategy. Here, a controller, based on a family of approximate discrete time models, is designed within a previously proposed framework to have guaranteed practical asymptotic stability of the exact (unknown) discrete time model. Controller design, accomplished using MPC theory, is facilitated by successive online linearizations of the nonlinear discrete time model at..View full abstract
This work was supported by Energy Technology Innovation Strategy (ETIS) and Advanced Centre for Automotive Research and Testing (ACART) at The University of Melbourne, Australia.