Title :
LPV Modeling and Mixed Constrained
Control of an Electronic Throttle
Author :
Shupeng Zhang ; Yang, Jie J. ; Zhu, Guoming G.
Author_Institution :
Dept. of Mech. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
Engine electronic throttle control (ETC) is challenging due to its high system nonlinearities and the required fast response time. In this paper, an electronic throttle system was modeled as a linear parameter varying (LPV) system in discrete-time domain, where the vehicle battery voltage is modeled as the measurable time-varying parameter; the nonlinear friction is modeled as a function of the measurable throttle position; and the limp-home spring nonlinearity is compensated through feedforward control. Mixed constrained H2/H∞ LPV controller was designed for the LPV throttle control system using the linear matrix inequality convex optimization approach. The system output and control weights were optimized through simulation studies to achieve the best performance; and the finalized LPV controller was experimentally validated on an ETC test bench. Comparing with the baseline well-tuned fixed gain proportional, integral, and derivative controller, the LPV controller reduces the 2% settling time from 0.30 to 0.15 s. Especially, smooth transient response was achieved when the throttle plate crosses the region with heavy spring nonlinearity required by the limp-home operation.
Keywords :
compensation; control nonlinearities; control system synthesis; convex programming; discrete time systems; electric vehicles; feedforward; friction; linear matrix inequalities; linear parameter varying systems; nonlinear control systems; springs (mechanical); time-varying systems; transient response; ETC test bench; LPV throttle control system; convex optimisation; discrete-time domain; electronic throttle control; feedforward control; limp-home spring nonlinearity compensation; linear matrix inequality; linear parameter varying system; mixed constrained H2-H∞ controller design; nonlinear friction modelling; system nonlinearities; time-varying parameter; transient response; vehicle battery voltage modelling; Batteries; Control systems; DC motors; Engines; Friction; Springs; Torque; Automotive control; LPV gain-scheduling control; electronic throttle;
Journal_Title :
Mechatronics, IEEE/ASME Transactions on
DOI :
10.1109/TMECH.2014.2364538