Benefits of Feedforward for Model Predictive Airpath Control of Diesel Engines. Issue 25 (2022)

• Record Type: Journal Article
• Authors: Zhang, Jiadi; Amini, Mohammad Reza; Kolmanovsky, Ilya; Tsutsumi, Munechika; Nakada, Hayato
• Is Part Of: IFAC-PapersOnLine. Volume 55:Issue 25(2022)
• Page Start: 181
• Page End: 186
• Publication Date: 2022
• Subjects: Model predictive control -- Linear parameter-varying control -- Diesel airpath control; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2022.09.344
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: This paper investigates options to complement a diesel engine airpath feedback controller with a feedforward. The control objective is to track the intake manifold pressure and exhaust gas recirculation (EGR) rate targets by manipulating the EGR valve and variable geometry turbine (VGT) while satisfying state and input constraints. The feedback controller is based on rate-based Model Predictive Control (MPC) that provides integral action for tracking. Two options for the feedforward are considered one based on a look-up table that specifies the feedforward as a function of engine speed and fuel injection rate, and another one based on a (non-rate-based) MPC that generates dynamic feedforward trajectories. The controllers are designed and verified using a high-fidelity engine model in GT-Power and exploit a low-order rate-based linear parameter-varying (LPV) model for prediction which is identified from transient response data generated by the GT-Power model. It is shown that the combination of feedforward and feedback MPC has the potential to improve the performance and robustness of the control design. In particular, the feedback MPC without feedforward can lose stability at low engine speeds, while MPC-based feedforward results in the best transient response. Mechanisms by which feedforward is able to assist in stabilization and improve performance are discussed.