Model Based Control Method for Diesel Engine Combustion

Hu Wang, Xin Zhong, Tianyu Ma, Zunqing Zheng and Mingfa Yao
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Hu Wang: State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China
Xin Zhong: State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China
Tianyu Ma: State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China
Zunqing Zheng: State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China
Mingfa Yao: State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China

Energies, 2020, vol. 13, issue 22, 1-13

Abstract: With the increase of information processing speed, more and more engine optimization work can be processed automatically. The quick-response closed-loop control method is becoming an urgent demand for the combustion control of modern internal combustion engines. In this paper, artificial neural network (ANN) and polynomial functions are used to predict the emission and engine performance based on seven parameters extracted from the in-cylinder pressure trace information of over 3000 cases. Based on the prediction model, the optimal combustion parameters are found with two different intelligent algorithms, including genetical algorithm and fish swarm algorithm. The results show that combination of quadratic function with genetical algorithm is able to obtain the appropriate combustion control parameters. Both engine emissions and thermal efficiency can be virtually predicted in a much faster way, such that enables a promising way to achieve fast and reliable closed-loop combustion control.

Keywords: closed-loop control; diesel combustion; virtual emission prediction; artificial neural network; diesel engine (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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