Abstract | ||
---|---|---|
Engine electronic throttle control is challenging due to its high nonlinearities. In this paper, a discrete-time electronic throttle system was modeled as an LPV (linear parameter varying) system, where the vehicle battery voltage, the nonlinear friction, and spring are the measurable time-varying parameters. Gain-scheduling H2 controller was designed for the LPV throttle control system using the linear matrix inequality (LMI) convex optimization approach. The designed controller was experimentally validated and compared with the baseline fixed gain PI controller and showed significant performance improvement. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1109/ACC.2014.6859140 | ACC |
Keywords | Field | DocType |
pi control,lmi,lpv gain-scheduling control,linear parameter varying system,time-varying systems,time-varying parameters,control system synthesis,nonlinear friction,linear matrix inequality,convex programming,discrete-time electronic throttle system,automotive,vehicle battery voltage,convex optimization approach,lpv throttle control system,discrete time systems,baseline fixed gain pi controller,linear matrix inequalities,linear systems,mechatronics,linear parameter-varying systems,engine electronic throttle control | Control theory,Nonlinear system,PID controller,Computer science,Gain scheduling,Control theory,Control engineering,Electronic throttle control,Convex optimization,Linear matrix inequality,Performance improvement | Conference |
ISSN | Citations | PageRank |
0743-1619 | 1 | 0.35 |
References | Authors | |
6 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shupeng Zhang | 1 | 1 | 0.69 |
Jie J. Yang | 2 | 1 | 0.35 |
Guoming Zhu | 3 | 31 | 13.84 |