基于平均值模型及卡尔曼滤波器的柴油机指示转矩估计研究
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- 英文论文题名：Research of Indicated Torque Estimation for Diesel Engines Based on Mean Value Model and Kalman Filter
- 论文作者：葛彦悟 ; 黄英 ; 苏国庆 ; 赵文强 ; 郑雪龙
- 英文论文作者：Ge Yanwu ; Huang Ying ; Su Guoqing ; Zhao Wenqiang ; Zheng Xuelong ; School of Mechanical Engineering ; Beijing Institute of Technology
- 年：2016
- 作者机构：北京理工大学车辆动力系统技术重点学科试验室;
- 论文关键词：柴油机 ; 转矩估计 ; 平均值模型 ; 卡尔曼滤波器
- 英文论文关键词：turbo-charged diesel engine ; torque estimation ; mean value model ; KF
- 会议召开时间：2016-10-26
- 会议录名称：2016中国汽车工程学会年会论文集
- 英文会议录名称：Proceedings of 2016 SAE-China Congress
- 语种：中文
- 分类号：U464.172
- 学会代码：QCGC
- 会议名称：2016中国汽车工程学会年会暨展览会
- 会议地点：中国上海
- 主办单位：中国汽车工程学会
- 学会名称：中国汽车工程学会
- 页数：6
- 文件大小：541k
- 原文格式：O
- 会议级别：全国
摘要
对以平均值模型转矩估计值为基准部分、以卡尔曼滤波器(Kalman Filter,KF)转矩估计值为修正部分的柴油机转矩估计方法进行了研究。平均值模型的输入量为发动机转速、进气压力、循环喷油量,KF的输入量为发动机转速、平均值模型转矩估计值、发动机当前负荷及摩擦转矩值。算法的开发平台为MATLAB/Simulink及以MC68376单片机为核心的自研ECU。以DEUTZ BF6M1015涡轮增压柴油机为研究对象,首先基于稳态台架实验标定得到了平均值模型转矩估计需要用到的充气效率MAP、指示热效率MAP,并对平均值模型转矩估计动态精度不高的原因进行了分析;然后提出基于发动机转速利用KF对平均值模型转矩估计值进行闭环修正。结果表明,平均值模型的稳态精度为95%左右,动态精度为80%左右;基于KF修正后,动态精度提高到90%左右。
The strategy consists of two parts:the first part is a mean value model and the second part is a KF.The input variables of MVM are engine speed,intake air pressure,cycle fuel quantity;while the inputs of KF are engine speed,estimated torque from MVM,engine load torque and friction torque.The developed strategy is verified by MATLAB/Simulink and one self- developed ECU with MC68376.Firstly several MAPs of MVM are calibrated on the test bench including indicated thermal efficiency MAP and so on;then the reasons of the poor transient torque estimation accuracy is analyzed,and a KF corrector based on engine speed feedback is developed.Simulation and test results show that by the KF corrector,transient torque estimation accuracy is improved from 80% to 90%.
The strategy consists of two parts:the first part is a mean value model and the second part is a KF.The input variables of MVM are engine speed,intake air pressure,cycle fuel quantity;while the inputs of KF are engine speed,estimated torque from MVM,engine load torque and friction torque.The developed strategy is verified by MATLAB/Simulink and one self- developed ECU with MC68376.Firstly several MAPs of MVM are calibrated on the test bench including indicated thermal efficiency MAP and so on;then the reasons of the poor transient torque estimation accuracy is analyzed,and a KF corrector based on engine speed feedback is developed.Simulation and test results show that by the KF corrector,transient torque estimation accuracy is improved from 80% to 90%.
引文
[1]Liu J,Peng H.Modeling and Control of a Power-split Hybrid Vehicle[J].Control Systems Technology,IEEE Transactions on,2008,16(6):1242-1251.
[2]Rodatz P,Paganelli G,Sciarretta A,et al.Optimal Power Management of an Experimental Fuel Cell/Supercapacitorpowered Hybrid Vehicle[J].Control Engineering Practice,2005,13(1):41-53.
[3]童毅.并联式混合动力系统动态协调控制问题的研究[D].北京:清华大学,2004.
[4]李刚,黄英,张付军,等.基于瞬时转速的增压柴油机指示转矩估计[J].内燃机学报,2015,33(3):272-278.
[5]洪木南,欧阳明高.基于汽油机平均值模型的在线转矩估计[J].机械工程学报,2009,45(4):290-294.
[6]Chauvin Jonathan,et al.Real-time Combustion Torque Estimation on a Diesel Engine Test Bench Using Time-varying Kalman Filtering[J].Decision and Control,43 rd IEEE Conference,2004.
[7]Kalman R E.A New Approach to Linear Filtering and Prediction Problems[J].Journal of Fluids Engineering,1960,82(1):35-45.
[8]郭应时,王畅,张亚岐.噪声方差对卡尔曼滤波结果影响分析[J].计算机工程与设计,2014,35(2):641-645.
[9]高羽,张建秋.小波变换域估计观测噪声方差的Kalman滤波算法及其在数据融合中的应用[J].电子学报,2007,35(1):108-111.
[10]董大伟,闫兵.内燃机瞬时转速测量及其误差研究[J].车用发动机,2002(3):36-38.
[11]李建秋,欧阳明高.汽车发动机瞬时转速信号波动规律分析[J].内燃机学报,1999,17(4):416-418.
[12]Costa E F,Astolfi A.Characterization of Exponential Divergence of the Kalman Filter for Time-varying Systems[J].SIAM Journal on Control and Optimization,2009,48(5):2917-2944.
[13]Franklin G F,Powell J D,Workman M L.Digital control of dynamic systems[M].Menlo Park:Addisonwesley,1998.
[14]邱恺,黄国荣,陈天如,等.卡尔曼滤波过程的稳定性研究[J].系统工程与电子技术,2005,27(1):33-35.
[15]Qi W,Zhang P,Deng Z.Robust Weighted Fusion Kalman Filters for Multisensor Time-varying Systems with Uncertain Noisevariances[J]?Signal Processing,2014,99:185-200.
[2]Rodatz P,Paganelli G,Sciarretta A,et al.Optimal Power Management of an Experimental Fuel Cell/Supercapacitorpowered Hybrid Vehicle[J].Control Engineering Practice,2005,13(1):41-53.
[3]童毅.并联式混合动力系统动态协调控制问题的研究[D].北京:清华大学,2004.
[4]李刚,黄英,张付军,等.基于瞬时转速的增压柴油机指示转矩估计[J].内燃机学报,2015,33(3):272-278.
[5]洪木南,欧阳明高.基于汽油机平均值模型的在线转矩估计[J].机械工程学报,2009,45(4):290-294.
[6]Chauvin Jonathan,et al.Real-time Combustion Torque Estimation on a Diesel Engine Test Bench Using Time-varying Kalman Filtering[J].Decision and Control,43 rd IEEE Conference,2004.
[7]Kalman R E.A New Approach to Linear Filtering and Prediction Problems[J].Journal of Fluids Engineering,1960,82(1):35-45.
[8]郭应时,王畅,张亚岐.噪声方差对卡尔曼滤波结果影响分析[J].计算机工程与设计,2014,35(2):641-645.
[9]高羽,张建秋.小波变换域估计观测噪声方差的Kalman滤波算法及其在数据融合中的应用[J].电子学报,2007,35(1):108-111.
[10]董大伟,闫兵.内燃机瞬时转速测量及其误差研究[J].车用发动机,2002(3):36-38.
[11]李建秋,欧阳明高.汽车发动机瞬时转速信号波动规律分析[J].内燃机学报,1999,17(4):416-418.
[12]Costa E F,Astolfi A.Characterization of Exponential Divergence of the Kalman Filter for Time-varying Systems[J].SIAM Journal on Control and Optimization,2009,48(5):2917-2944.
[13]Franklin G F,Powell J D,Workman M L.Digital control of dynamic systems[M].Menlo Park:Addisonwesley,1998.
[14]邱恺,黄国荣,陈天如,等.卡尔曼滤波过程的稳定性研究[J].系统工程与电子技术,2005,27(1):33-35.
[15]Qi W,Zhang P,Deng Z.Robust Weighted Fusion Kalman Filters for Multisensor Time-varying Systems with Uncertain Noisevariances[J]?Signal Processing,2014,99:185-200.