Shidore, Neeraj (General Motors), Raghavan, Madhusudan (General Motors)

Jerk Minimization for a Novel Engine Crank Mechanism Using LQG Control

Scheduled for presentation during the Regular Session "Modeling, Estimation, and Control of Internal Combustion Engine- II" (MoBT3), Monday, August 29, 2022, 16:30−16:50, Pfahl Hall 140

10th IFAC International Symposium on Advances in Automotive Control, August 28-31, 2022, Columbus, Ohio, USA

This information is tentative and subject to change. Compiled on April 26, 2024

Abstract

The paper presents the development of LQG (Linear Quadratic Gaussian) Control to minimize the jerk , during the actuation of a novel engine crank mechanism ,for a hybrid electric vehicle. The operation of the novel mechanism is explained in detailed. Open loop simulation results show an undesirable jerk , which is perceptible to the driver, during the actuation of this mechanism. A closed loop LQG controller is then formulated to minimize the jerk and provide a smooth engine start. The formulation of the plant model, observer design is explained. Incremental control is used to approximate jerk from the output equation. Finally, closed loop simulation results show a smooth engine crank while minimizing the undesirable jerk.