Research on High Voltage Common Rail Pressure Optimization Based on Iterative Neural Dynamic Programming Data Driven

For diesel engine high pressure common rail system, many complex and time-varying nonlinear processes are involved. There are many problems between multiple variables, such as coupling is difficult to establish precise models to achieve precise control. The working conditions of diesel engine are di...

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Bibliographic Details
Published inChinese Control Conference pp. 8002 - 8007
Main Authors Li, Hui, Zhang, Shuo
Format Conference Proceeding
LanguageEnglish
Published Technical Committee on Control Theory, Chinese Association of Automation 01.07.2018
Subjects
Data Drive
Diesel engines
Dynamic programming
Fuels
High Voltage Common Rail
Multivariable Coupling
Neurons
Optimization
Rails
Training
Online AccessGet full text
ISSN1934-1768
DOI10.23919/ChiCC.2018.8483562

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Summary:For diesel engine high pressure common rail system, many complex and time-varying nonlinear processes are involved. There are many problems between multiple variables, such as coupling is difficult to establish precise models to achieve precise control. The working conditions of diesel engine are divided into starting, idle, accelerating, decelerating and parking by MATLAB, and compared with the results of genetic algorithm optimization. The results show that the diesel engine in various working conditions, HDP optimization amount quickly reach steady state within 10 time steps, which is better than genetic algorithm optimization effect, to achieve real-time optimization, so as to realize the precise control of all respectively control.
ISSN:1934-1768
DOI:10.23919/ChiCC.2018.8483562