| 基于神经网络的柴油机轨压模型补偿容错控制研究 |
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| 引用本文： | 石磊,薛冬新,宋希庚.基于神经网络的柴油机轨压模型补偿容错控制研究[J].车用发动机,2009(2). |
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| 作者姓名： | 石磊 薛冬新 宋希庚 |
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| 作者单位： | 大连理工大学能源与动力学院,辽宁,大连,116024 |
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| 摘 要： | 电控柴油机高压共轨燃油喷射系统具有很强的非线性、时变性和扰动性,传统的控制方式难以精确控制系统的轨压。基于BP神经网络辨识得到了非线性柴油机燃油喷射系统模型,提出了一种模型补偿容错控制方法。该方法在PID参数模糊自整定控制的基础上,通过加入一个基于梯度下降算法的误差补偿控制器修正输出偏差,实现了对柴油机燃油喷射系统时变性和扰动性的控制。仿真结果证明了该方法的有效性,与传统PID控制和模糊PID控制相比具有更好的鲁棒性和抗扰动性。
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| 关 键 词： | 柴油机 压力控制 数学模型 容错控制 神经网络 PID控制 模糊控制 |
Research on Fault-tolerant Control of Diesel Common Rail Pressure Based on Neural Network |
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| SHI Lei,XUE Dong-xin,SONG Xi-geng.Research on Fault-tolerant Control of Diesel Common Rail Pressure Based on Neural Network[J].Vehicle Engine,2009(2). |
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| Authors: | SHI Lei XUE Dong-xin SONG Xi-geng |
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| Institution: | SHI Lei,XUE Dong-xin,SONG Xi-geng(School of Energy , Power Engineering,Dalian University of Technology,Dalian 116024,China) |
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| Abstract: | It's difficult to realize accurate control of high-pressure common rail fuel injection system of electronically controlled diesel engine with traditional control methods because it was nonlinear,time-variable and disturbed.A fault-tolerant control method was proposed based on BP neural network and fuzzy theory.The nonlinear diesel fuel injection system model could be established through BP neural network.Based on the fuzzy identification of PID parameters,the time-variability and disturbance was controlled ... |
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| Keywords: | diesel engine pressure control mathematical model fault-tolerant control neural network PID control fuzzy control |
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