Nonlinear Constrained Torque Control For Gasoline Engines

Kang Mingxin (1) , Mazen Alamir (2) , Tielong Shen (1)

1 Sophia University [Tokyo]
2 GIPSA-SYSCO - GIPSA - Systèmes non linéaires et complexité

In this paper, an analytic constrained nonlinear state feedback for torque control of a gasoline engine is designed. The state feedback is based on the mean-value model of the gasoline engine, which consists of the intake manifold air filling dynamics and torque calibration equation. The proposed feedback can be made as close as possible to the minimum-time controller by adequately choosing a specific parameter of the controller. Illustrative experiments are proposed to assess the efficiency of the proposed controller. Comparing to the control performance of Model Predictive Control (MPC), the proposed solution suggests that as far as the underlying problem is concerned, the use of MPC seems to be unjustified. Moreover, this kind of explicit law highlights the nice modeling effort that ended up with the simple-to-use reduced order model.

Domaines: Automatique / Robotique

Kang Mingxin, Mazen Alamir, Tielong Shen. Nonlinear Constrained Torque Control For Gasoline Engines. NOLCOS 2016 - 10th IFAC Symposium on Nonlinear Control Systems, Aug 2016, Monterey, CA, United States. ⟨10.1016/j.ifacol.2016.10.261⟩. ⟨hal-01303995⟩