Receding horizon online optimization for torque control of gasoline engines

Mingxin Kang; Tielong Shen

doi:10.1016/j.isatra.2016.06.012

Receding horizon online optimization for torque control of gasoline engines

ISA Trans. 2016 Nov:65:371-383. doi: 10.1016/j.isatra.2016.06.012. Epub 2016 Aug 9.

Authors

Mingxin Kang¹, Tielong Shen²

Affiliations

¹ Department of Engineering and Applied Sciences, Sophia University, Tokyo 102-8554, Japan. Electronic address: kangmx@sophia.ac.jp.
² Department of Engineering and Applied Sciences, Sophia University, Tokyo 102-8554, Japan. Electronic address: tetu-sin@sophia.ac.jp.

PMID: 27520854
DOI: 10.1016/j.isatra.2016.06.012

Abstract

This paper proposes a model-based nonlinear receding horizon optimal control scheme for the engine torque tracking problem. The controller design directly employs the nonlinear model exploited based on mean-value modeling principle of engine systems without any linearizing reformation, and the online optimization is achieved by applying the Continuation/GMRES (generalized minimum residual) approach. Several receding horizon control schemes are designed to investigate the effects of the integral action and integral gain selection. Simulation analyses and experimental validations are implemented to demonstrate the real-time optimization performance and control effects of the proposed torque tracking controllers.

Keywords: Gasoline engine; Model predictive control; Nonlinear optimization; Receding horizon control; Torque tracking control.