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logical control scheme with real-time statistical learning for residual gas fraction in IC engines

Science China(Information Sciences) 2018年第1期61卷 45-57页

作者： Xun SHEN Yuhu WU Tielong SHEN Department of Engineering and Applied Sciences Sophia University School of control Science and Engineering Dalian University of Technology

In this paper, an optimal control scheme for reducing the fluctuation of residual gas fraction(RGF) under variational operating condition is developed by combining stochastic logical system approach with statistical learning method. The method estimating RGF from measured in-cylinder pressure is introduced firstly. Then, the stochastic properties of the RGF are analyzed according to statistical data captured by conducting experiments on a test bench equipped with a L4 internal combustion engine. The influences to the probability distribution of the RGF from both control input and environment parameters are also analyzed. Based on the statistical analysis, a stochastic logical transient model is adopted for describing cyclic behavior of the RGF. Optimal control policy maps for different fixed operating conditions are calculated then. Besides, a statistical learning-based method is applied to learn the probability density function(PDF)of RGF in the real-time which is used to adjust the control MAP based on logical optimization. The whole optimal control policy map is obtained based on Gaussian process regression with consideration of statistical information of RGF. Finally, the performance of the proposed method is experimentally validated.

关键词： combustion engine statistical learning residual gas fraction variable valve timing logical control

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The logical control Protective System of the HL-2A LHCD Power Supply

Southwestern Institute of Physics Annual Report

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Southwestern Institute of Physics Annual Report 2004年第1期 79-81页

作者： MAO Xiaohui YAO Lieying XUAN Weiming

The main equipmets of the HL-2A LHCD power supply are based on the old one, but the logical control protective system is a new part. Considering the output voltage is very high（up to 60 kV）, so the logical control p... 详细信息

关键词： LHCD Power supply logical control

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logical Stochastic Optimization Approach to Energy Management of Plug-in Hybrid Electric Vehicle 36

Logical Stochastic Optimization Approach to Energy Managemen...

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第36届中国控制会议

作者： Jiangyan Zhang Yuhu Wu Tielong Shen Jixiang Fan College of Mechanical and Electronic Engineering Dalian Minzu University School of control Science and Engineering Dalian University of Technology Department of Engineering and Applied Sciences Sophia University Harbin Normal University School of Physics and Electronic Engineering

ISBN: (纸本)9781538629185

This paper proposes a control scheme for the energy management of plug-in hybrid electric vehicles（HEVs）.Consider the urban driving case,the traffic conditions are treated as stochastic processes of the driver *** the essential characteristics of plug-in HEVs into account,a logical-based optimization approach is applied to realize the equivalent energy cost minimization of the *** stochastic design approach provides the solution of a finite horizon optimal control *** performance of the proposed control scheme is evaluated by means of a full-scaled hybrid electric vehicle（HEV）simulator.

关键词： Plug-in HEV Energy Management logical control Stochastic Optimal control

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