LPV gain-scheduling control of an electronic throttle with experimental validation

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.