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| DOI：https://doi.org/10.1007/s11768-019-8243-1 |
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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). |
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| 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 |
