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Rail pressure controller design of GDI basing on predictive functional control
ZhimingZHANG,LeiXIE,HongyeSU
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(State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou Zhejiang 310027, China)
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基金项目:This work was supported by the National Key R&D Program of China (No. 2018YFB1701102) and the Natural Science Foundation of Zhejiang, China (No. LR17F030002).
Rail pressure controller design of GDI basing on predictive functional control
Zhiming ZHANG,Lei XIE,Hongye SU
(State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou Zhejiang 310027, China)
Abstract:
Gasoline direct injection (GDI) is a pivotal technique for a highly efficient engine. However, how to maintain a stable rail pressure which offers good fuel economy and low emissions, is still a challengeable work. In this paper, a rail pressure controller is designed basing on predictive functional control (PFC), a model predictive control (MPC) method, to surmount the nonlinearity and discontinuity brought by the common rail pressure system (CRPS). A control-oriented piecewise linear model is presented to simplify the CRPS. The simulation results on a benchmark show that rail pressure tracks the setpoint accurately even with some perturbations. Profiting from the conciseness of PFC algorithm, the controller can compute the online solution in a short time, which makes it possible to realize the strategy on a fast response system.
Key words:  Rail pressure control, model based predictive control, predictive functional control