基于磁流变悬置系统的整车动力学建模及控制策略研究
详细信息 查看官网全文
- 英文论文题名：Research on Full-vehicle Dynamics Modeling and Control Strategy Based on Magneto-Rheological Mounting System
- 论文作者：邓召学 ; 赵树恩 ; 高正源 ; 郑玲
- 英文论文作者：Deng Zhaoxue ; Zhao Shuen ; Gao Zhengyuan ; Zheng Ling ; School of Mechatronics and Automotive Engineering ; Chongqing Jiaotong University ; State Key Laboratory of Mechanical Transmission ; Chongqing University
- 年：2016
- 作者机构：重庆交通大学机电与车辆工程学院;重庆大学机械传动国家重点实验室;
- 论文关键词：磁流变悬置 ; 性能试验 ; 遗传BP神经网 ; 变论域自适应模糊控制器
- 英文论文关键词：magneto-rheological mount ; performance test ; GA-BP neural network ; variable universe fuzzy controller
- 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：U461.1
- 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：7
- 文件大小：1611k
- 原文格式：O
- 会议级别：全国
摘要
以磁流变悬置样件性能试验结果为训练数据样本,采用遗传BP神经网络建立了磁流变悬置正逆模型,并将该模型用于悬置系统的半主动控制;在考虑动力总成激励和路面激励的基础上,建立了磁流变悬置系统的10自由度整车动力学模型。为有效抑制某乘用车动力总成低频振动过大,提出了以发动机转速频率、悬置点加速度为输入,悬置阻尼力为输出的模糊控制器及变论域自适应模糊控制器。仿真结果表明,变论域模糊控制器具有较好的宽频隔振效果,悬置点处的加速度振动峰值得到有效抑制,验证了GA-BP神经网络控制模型及变论域模糊控制器算法的正确性和有效性。
The mechanical model of magneto-rheological(MR) mount was identified by dynamic performance test results with GA- BP neural network.Considering the powertrain exciting force and the road excitation,the MR mounting system model combining with whole-vehicle model is developed and the natural characteristics are calculated and analyzed.Aiming to surpress the excessive low-frequency vibration of power-train for passenger car during operation conditions of start,flameout and crossing deceleration strips,the fuzzy controller and variable universe fuzzy self- adaptive controller are designed with engine rotating speed and acceleration signal at the mount point as input and the damping force as output.As the results of numerical simulation,the variable universe fuzzy controller has better performance at broadband vibration isolation effect,and the vibration acceleration peak at the mount point reduced significantly,the correctness and effectiveness of GA- BP network model and variable universe fuzzy controller was proved.
The mechanical model of magneto-rheological(MR) mount was identified by dynamic performance test results with GA- BP neural network.Considering the powertrain exciting force and the road excitation,the MR mounting system model combining with whole-vehicle model is developed and the natural characteristics are calculated and analyzed.Aiming to surpress the excessive low-frequency vibration of power-train for passenger car during operation conditions of start,flameout and crossing deceleration strips,the fuzzy controller and variable universe fuzzy self- adaptive controller are designed with engine rotating speed and acceleration signal at the mount point as input and the damping force as output.As the results of numerical simulation,the variable universe fuzzy controller has better performance at broadband vibration isolation effect,and the vibration acceleration peak at the mount point reduced significantly,the correctness and effectiveness of GA- BP network model and variable universe fuzzy controller was proved.
引文
[1]Young Kong Ahn,Mehdi Ahmadian,Shin Morishita.On the Design and Development of a Magneto-Rheological Mount[J].Vehicle System Dynamics,1999,32(2):199-216.
[2]刘会兵.基于磁流变液隔振器的发动机振动控制研究[D].重庆:重庆大学,2009.
[3]SAVARESI S M.Identification of semi-physical and black-box non-linear models:The case of Mk-clampers for vehicles control[J].Automation,2005,41(1):113-127.
[4]BOADA M J L,CALVO J A.Modeling of a magnetorheological damper by recursive lazy learning[J].International Journal of Non-Linear Mechanics,2011,46:479-485.
[5]HMADKHANLOU F,MAHBOOB M.An improved model for magnetorheological fluid-based actuators and sensors[J].Journal of Intelligent Material Systems and Structures,2010,21(1):3-18.
[6]HONGSR,WERELEY N M,CHOI Y T,et al.Analytical and experimental validation of a nondimensional Bingham model for mixed-mode magnetorheological dampers[J].Journal of Sound and Vibration,2008,312(3):399-417.
[7]DU H,LAM J,ZHANG N.Modelling of a magnetorheological damper by evolving radial basis function networks[J].Engineering Applications of Artificial Intelligence,2006,19(8):869-881.
[8]WANG Xiao-jie,GORDANINEJAD F.A new magnetorheological fluid-elastomer mount;Phenomenological modeling and experimental study[J].Smart Materials and Structures,2009,18(9):130-138.
[9]AHN K K,TROUNG D Q,ISLAM M A.Modeling of a magnetorheological(MR)fluid damper using a self tuning fuzzy mechanism[J].Journal of Mechanical Science and Technology,2009(23):1485-1499.
[10]S B Choi,H J Song.Vibration Control of a Passenger Vehicle Utilizing a Semi-active ER engine mount[J].Vehicle System Dynamics.2002,37(3):193-216.
[11]S B Choi,Y T Choi,C C Cheong.Performance evaluations of a mixed mode ER engine mount via hardware-inthe-loop simulation[J].Journal of Intelligent Material Systems and Structures,1999,10(8):671-677.
[12]S B Choi,H J Song.Vibration Control of a passenger vehicle utilizing a semi-active ER engine mount[J].Vehicle System Dynamics.2002,37(3):193-216.
[13]王雪婧.磁流变半主动发动机悬置隔振性能与控制方法研究[D].长春:吉林大学,2011.
[14]王昊,胡海岩.磁流变阻尼器的模糊逼近[J].振动工程学报,2006,19(1):31-36.
[15]李洪兴.模糊控制的插值机理[J].中国科学(E辑),1998,28(3):259-267.
[16]李洪兴.变论域自适应模糊控制器[J].中国科学(E辑),1999,29(1):32-42.
[17]李良峰.变论域模糊控制算法研究[D].成都:成都电子科技大学.
[2]刘会兵.基于磁流变液隔振器的发动机振动控制研究[D].重庆:重庆大学,2009.
[3]SAVARESI S M.Identification of semi-physical and black-box non-linear models:The case of Mk-clampers for vehicles control[J].Automation,2005,41(1):113-127.
[4]BOADA M J L,CALVO J A.Modeling of a magnetorheological damper by recursive lazy learning[J].International Journal of Non-Linear Mechanics,2011,46:479-485.
[5]HMADKHANLOU F,MAHBOOB M.An improved model for magnetorheological fluid-based actuators and sensors[J].Journal of Intelligent Material Systems and Structures,2010,21(1):3-18.
[6]HONGSR,WERELEY N M,CHOI Y T,et al.Analytical and experimental validation of a nondimensional Bingham model for mixed-mode magnetorheological dampers[J].Journal of Sound and Vibration,2008,312(3):399-417.
[7]DU H,LAM J,ZHANG N.Modelling of a magnetorheological damper by evolving radial basis function networks[J].Engineering Applications of Artificial Intelligence,2006,19(8):869-881.
[8]WANG Xiao-jie,GORDANINEJAD F.A new magnetorheological fluid-elastomer mount;Phenomenological modeling and experimental study[J].Smart Materials and Structures,2009,18(9):130-138.
[9]AHN K K,TROUNG D Q,ISLAM M A.Modeling of a magnetorheological(MR)fluid damper using a self tuning fuzzy mechanism[J].Journal of Mechanical Science and Technology,2009(23):1485-1499.
[10]S B Choi,H J Song.Vibration Control of a Passenger Vehicle Utilizing a Semi-active ER engine mount[J].Vehicle System Dynamics.2002,37(3):193-216.
[11]S B Choi,Y T Choi,C C Cheong.Performance evaluations of a mixed mode ER engine mount via hardware-inthe-loop simulation[J].Journal of Intelligent Material Systems and Structures,1999,10(8):671-677.
[12]S B Choi,H J Song.Vibration Control of a passenger vehicle utilizing a semi-active ER engine mount[J].Vehicle System Dynamics.2002,37(3):193-216.
[13]王雪婧.磁流变半主动发动机悬置隔振性能与控制方法研究[D].长春:吉林大学,2011.
[14]王昊,胡海岩.磁流变阻尼器的模糊逼近[J].振动工程学报,2006,19(1):31-36.
[15]李洪兴.模糊控制的插值机理[J].中国科学(E辑),1998,28(3):259-267.
[16]李洪兴.变论域自适应模糊控制器[J].中国科学(E辑),1999,29(1):32-42.
[17]李良峰.变论域模糊控制算法研究[D].成都:成都电子科技大学.