Control of the common rail pressure in gasoline engines through an extended state observer based MPC

Control of the common rail pressure in gasoline engines through an extended state observer based

MPC

Chao WU;Kang SONG;Hui XIE

【期刊名称】《控制理论与应用（英文版）》 【年(卷),期】2019(017)002

【摘要】In this paper,a model predictive control (MPC) solution,assisted by extended state observer (FSO),is proposed for the common rail pressure control in gasoline engines.The rail pressure dynamic,nonlinear with large uncertainty,is modeled as a simple first order system.The discrepancy of the model from the real plant is lumped as \disturbance\the nonlinear MPC,assuming the total disturbance does not change in the prediction horizon.The nonlinear MPC problem is solved usingthe Newton/generalized

minimum

residual

(GMRES)

algorithm.The

proposed ESO-MPC solution,is compared with the conventional proportional-integral-differential (PID) controller,based on the high-fidelity model provided in the benchmark problem in IFAC-E-CoSM.Results show the following benefits from using ESO-MPC relative to PID (benchmark):1) the disturbance rejection capability to fuel inject pulse step is improved by 12％ in terms of recovery time;2) the transient response of rail pressure is improved by 5％ in terms of the integrated