Title :
Engine intake manifold modeling and high speed solving for predictive control
Author :
Xie, Long ; Ogai, Harutoshi ; Inoue, Yasuaki
Author_Institution :
Graduate Sch. of Inf., Production & Syst., Waseda Univ., Fukuoka
Abstract :
The intake manifold model of turbocharged engine is constructed and a high speed calculation algorithm is developed for model based predictive control in real time. The model is built according to the analysis of its thermodynamic and hydrodynamic characteristics and the sampled experiment data. The model equations are expressed by a set of differential equations with switching (bifurcation) on the right hand side. The switching surface is divided into two parts: sliding and crossing. We analyze the switching situations existing on the surface and develop the well-defined control semantics for managing the behavior discontinuities in the case of mode transition. The calculation algorithm can seamlessly integrate the continuous behavior and the discrete mode switching together. Using this method we can solve this model under entire region of input throttle angles. Furthermore the stability is greatly increased and the calculation time is greatly reduced for the real time control system
Keywords :
fuel systems; intake systems (machines); internal combustion engines; predictive control; continuous behavior; control semantics; differential equation; discontinuity behavior; discrete mode switching; engine intake manifold modeling; high speed calculation; hydrodynamic analysis; model based predictive control; real time control system; sampled experiment data; switching surface analysis; thermodynamic analysis; turbocharged engine; Bifurcation; Differential equations; Engines; Hydrodynamics; Manifolds; Predictive control; Predictive models; Sliding mode control; Stability; Thermodynamics;
Conference_Titel :
Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
Conference_Location :
Munich
Print_ISBN :
0-7803-9797-5
Electronic_ISBN :
0-7803-9797-5
DOI :
10.1109/CACSD-CCA-ISIC.2006.4776699