Benefits of Feedforward for Model Predictive Airpath Control of Diesel Engines
Jiadi Zhang, Mohammad Reza Amini, Ilya Kolmanovsky, Munechika, Tsutsumi, Hayato Nakada

TL;DR
This paper explores how feedforward control strategies can enhance the stability and transient response of model predictive control for diesel engine airpath management, using high-fidelity simulations.
Contribution
It introduces two feedforward methods integrated with feedback MPC for diesel engine control, demonstrating improved performance and robustness in simulations.
Findings
Feedforward improves transient response of engine control.
MPC-based feedforward enhances stability at low engine speeds.
Combining feedforward with feedback MPC yields better robustness.
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…
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Taxonomy
TopicsAdvanced Combustion Engine Technologies · Advanced Control Systems Optimization · Real-time simulation and control systems
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
