Control Oriented Real Time Model of Marine PowerStation Diesel Engine Based on neural network

摘要：

To build a precise and real time model is a key issue in fulfilling on optimal control of marine power station diesel engine in the hardware-in-theloop simulation system. In this paper, a control oriented real time model for marine power station diesel engine is proposed based on neural network. After establishing the quasi-steady model of diesel, the hybrid model based on the compensation of neural networks, which raises precision of diesel engine model, are obtained. A NN model is obtained from the hybrid one to meet with the requirement of real time simulation. Simulation studies are conducted, and results show that the model built is precise and real time, and can be used for developing and analyzing engine control algorithms in the hard-in-the-loop simulation system.

关键词： marine powerstation diesel engine real time model neural network

作者: Sun Bin Zeng Fan-ming Chen Yu-tao

作者单位: College of Naval Architecture and Marine Power Naval University of Engineering,Wuhan,China

会议类型: 国际会议

会议名称: 2011 3rd IEEE International Conference on Computer Research and Development(ICCRD 2011)(2011第三届计算机研究与发展国际会议)

会议地点: 上海

会议语种:英文

页码: 386-390

在线出版日期: 2011-03-11（万方平台首次上网日期，不代表论文的发表时间）