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Towards artificial intelligence based diesel engine performance control under varying operating conditions using support vector regression

机译：使用支持向量回归，在变化的工况下实现基于人工智能的柴油机性能控制

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Diesel engine designers are constantly on the look-out for performance enhancement through efficient control of operating parameters. In this paper, the concept of an intelligent engine control system is proposed that seeks to ensure optimized performance under varying operating conditions. The concept is based on arriving at the optimum engine operating parameters to ensure the desired output in terms of efficiency. In addition, a Support Vector Machines based prediction model has been developed to predict the engine performance under varying operating conditions. Experiments were carried out at varying loads, compression ratios and amounts of exhaust gas recirculation using a variable compression ratio diesel engine for data acquisition. It was observed that the SVM model was able to predict the engine performance accurately.
机译：柴油发动机设计人员一直在寻找通过有效控制运行参数来提高性能的方法。在本文中，提出了一种智能发动机控制系统的概念，旨在确保在变化的工况下实现最佳性能。该概念基于获得最佳发动机运行参数以确保效率方面的期望输出。另外，已经开发了基于支持向量机的预测模型，以预测在变化的工况下的发动机性能。使用可变压缩比柴油发动机在可变负载，压缩比和废气再循环量下进行了实验，以进行数据采集。据观察，SVM模型能够准确预测发动机性能。

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