Adaptive Prediction of Intake Manifold Absolute Pressure for a Coal-Bed Gas Engine

摘要：

In order to correctly calculate the engine cylinder charges for determining fueling, a precise real-time estimation of the engine intake manifold absolute pressure is required for speed-density methods. With the nonlinear time-varying characteristics of the engine intake manifold system, an intake manifold adaptive model is constructed and an adaptive identifier based on the recursive identification algorithm is used to estimate intake manifold pressure during different engine operating conditions. For comparison, two recursive identification methods, Kalman Filter algorithm and Forgetting Factor algorithm are adopted. subsequently, the predictor based on the parameters estimations is used for real-time prediction of the manifold pressure before sensor measurements. According to the manifold pressure state equation, the manifold pressure is treated as a bivariant function of throttle valve angle and engine speed, so a linear structure of equation error model is selected. Based on experiment data on engine test bench, the adaptive prediction results by recursive algorithms are compared with the estimates from conventional IIR Filter. The result shows that both of the recursive adaptation algorithms can be used for real-time prediction of manifold pressure of the coal-bed gas engine during different engine operating conditions.

关键词： Coal-bed gas engine Intake manifold pressure model On-line identification Recursive identification Time-varying model.

作者: Peng An Qin Teng Xiao-Xia Cai Cheng-Ji Zuo

作者单位: School of Mechanical and Automobile Engineering,Hefei University of Technology 230009 Hefei,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 4075-4079

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）