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Development of a New Model Based Air-Fuel Ratio Control System
Junichi Kako,Shuntaro Okazaki,Naoto Kato 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
The second-generation air-fuel ratio control method has been developed to reduce exhaust gas emissions in accordance with the improvements in catalysts. The control system consists of a feedforward control using a fuelbehavior model, a feedback control using an universal exhaust gas oxygen (UEGO) sensor and a feedback controlutilizing the heated exhaust gas oxygen (HEGO) sensor. Experimental results on actual vehicles show the effectivenessof presented method.
Lyapunov-based Feedback Design and Experimental Verification of IC Engine Speed Control
Jiangyan Zhang,Tielong Shen,Junichi Kako,Shozo Yoshida 제어·로봇·시스템학회 2009 International Journal of Control, Automation, and Vol.7 No.4
In this paper, the speed control problem of internal combustion engines is investigated based on mean-value engine models. The dynamics of internal combustion engines is a complicated nonlinear system, and usually, it is difficult to know the exact values of the physical parameters. First, a Lyapunov-based design method is shown without requiring the full information of the physical pa-rameters. Then, to improve transient performance, the design method is extended to several cases un-der different operation conditions. Numerical simulation results are presented for comparing the pro-posed design methods. Finally, experiments are conducted on an engine test bench and the results demonstrate the validity of the proposed design methods.
Po Li,Tielong Shen,Kaipei Liu,Junichi Kako,Shozo Yoshida 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
This paper presents a torque balancing control method for multi-cylinder SI engines. The deviation in average torque generation of sections with equal crank angle interval in ignition event scale is introduced as the index for balancing. Moreover, based on crank shaft dynamics in crank angle domain, an estimation method for this index from engine speed measurement is developed to avoid torque measurement. According to analysis in coupling characteristic in torque generation between cylinders, a 2nd order ARMA model is established for the dynamics from spark ignition to the index. Then model predictive control technique is used in regulation. Finally, the proposed model, estimation method and controller are validated by simulation where the engine model is provided by SICE benchmark problem.