MPC-Based Speed Tracking Control Design for Spark-Ignition Engines

Abstract

: This paper proposes an engine speed tracking controller based on the MPC scheme and investigates a tuning method for the practical control performance from the viewpoint of the ILQ design. First, the nonlinear system dynamics based on the engine mean-value model is transformed to the linear tracking error dynamics by the feedback linearization method. Then the MPC speed tracking controller is designed based on the derived tracking error dynamical model. To achieve the convenient adjustment of the control performance, the quadratic weightings in MPC performance index are calculated with respect to a single tuning parameter by means of the inverse optimality conditions of the LQ optimal problem. Moreover, an adaptive compensator is introduced to guarantee the control precision even if the predictive model is not very accurate. Experiments are conducted in the 3.5L-V6 gasoline engine test bed, the results demonstrate the good control effects for speed tracking by the proposed MPC controller and also confirm the validity of the proposed tuning approach.

Design of a speed tracking controller for heavy-duty vehicles with an all-speed governor based on a model predictive control strategy

“…Recently, some investigators have attempted to control engine idle speed using a model predictive control (MPC) strategy. 9,10 These studies, however, were not applied to torque-based engine control architecture. The outputs of an idle speed controller are fuel mass and injection angle, which are not suitable for today's modular control in torque-based engine control architecture.…”