|本期目录/Table of Contents|

[1]钟国旗,刘志远,何朕,等. 基于分布式预测控制的轮毂电机电动汽车横摆稳定控制[J].电机与控制学报,2018,22(07):107-117.[doi:10.15938/j.emc.2018.07.014]
 ZHONG Guo-qi,LIU Zhi-yuan,HE Zhen,et al. Yaw stability control for electric vehicle with in-wheel motorsbased on distributed model predictive control[J].,2018,22(07):107-117.[doi:10.15938/j.emc.2018.07.014]
点击复制

 基于分布式预测控制的轮毂电机电动汽车横摆稳定控制()
分享到:

《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:
22
期数:
2018年07
页码:
107-117
栏目:
出版日期:
2018-10-31

文章信息/Info

Title:
 Yaw stability control for electric vehicle with in-wheel motorsbased on distributed model predictive control
作者:
 钟国旗 刘志远 何朕 井后华
 ( 哈尔滨工业大学 控制科学与工程系,黑龙江 哈尔滨 150001)
Author(s):
 ZHONG Guo-qi LIU Zhi-yuan HE Zhen JING Hou-hua
  ( Dept. of Control Science and Engineering,Harbin Institute of Technology,Harbin 150001,China)
关键词:
电动汽车 轮毂电机 横摆控制 状态耦合 分布式预测控制
Keywords:
electric vehicle in-wheel motor yaw stability states coupling distributed modelpredictive control
分类号:
TP 273
DOI:
10.15938/j.emc.2018.07.014
文献标志码:
A
摘要:
采用基于协作的分布式预测控制策略,研究带有轮毂电机的四轮驱动电动汽车的横摆稳定控制问题。车辆对象是带有约束的高阶非线性系统,控制难度大。因此,首先在合理的假设条件下,针对轮毂电机电动车辆横摆稳定控制问题建立包含车身、车轮和电机动态并带有状态和控制约束的面向控制的高阶线性模型。然后,为了降低计算代价,将高阶线性模型分解为五个低阶的存在状态信息耦合的子模型。针对此分布式模型,引入稳态状态和控制的参数化方法设计了允许跟踪目标变化的分布式跟踪预测控制方法。最后,利用高精确度的车辆动力学仿真软件,验证方法的性能,证明所提方法的可行性和有效性。
Abstract:
A yaw stability control method for four independently in-wheel-motored electric vehicles basedon distributed model predictive control ( DMPC) is presented. The yaw model of the electric vehicle inclu-ding vehicle body,wheel and motor dynamics is a high-order system with hard constraints of states andcontrols. For reducing time of online optimization,
the high-order yaw model was divided into several low-order subsystems to design distributed controllers.A cooperative distributed model predictive controlscheme for tracking changing reference by using a parameterized method of stable states and controls isestablished.Finally,the DMPC tracking scheme was applied on a professional vehicle dynamics tool( ve-DYNA) to show that the controllers can obtain desired tracking result effectivity.

参考文献/References:

相似文献/References:

[1]吴剑,张承慧,崔纳新.并联式混合动力汽车的BP网络实时能量管理[J].电机与控制学报,2008,(05):610.
 WU Jian,ZHANG Cheng-hui,CUI Na-xin.Real-time energy management of parallel hybrid electric vehicle based on BP neural network[J].,2008,(07):610.
[2]朱曰莹,王大方,赵桂范,等.电动车用开关磁阻电机转矩控制器设计与优化[J].电机与控制学报,2010,(02):47.
 ZHU Yue-ying,WANG Da-fang,ZHAO Gui-fan,et al.Simulation on optimization of torque controller for switched reluctance motor used in electric vehicles[J].,2010,(07):47.
[3]刘和平,战祥真,李红新,等.惯量自补偿的纯电动汽车动力系统模拟试验台研究[J].电机与控制学报,2011,(10):55.
 LIU He-ping,ZHAN Xiang-zhen,LI Hong-xin,et al.Research on self-compensated inertia test rig of pure electric vehicle dynamic system[J].,2011,(07):55.
[4]刘平,刘和平,郭强,等.电池组直接供电对电动汽车驱动性能的影响[J].电机与控制学报,2011,(11):27.
 LIU Ping,LIU He-ping,GUO Qiang,et al.Effects of battery direct power supply on driving performance of electric vehicles[J].,2011,(07):27.
[5]焦晓红,李帅.永磁同步电机驱动电动汽车速度自适应控制[J].电机与控制学报,2011,(11):83.
 JIAO Xiao-hong,LI Shuai.Adaptive speed tracking control of electric vehicles driven by permanent magnet synchronous motor[J].,2011,(07):83.
[6]赵景波,周冰,李秀莲,等.电动汽车EPS曲线型助力特性的设计及试验[J].电机与控制学报,2011,(12):96.
 ZHAO Jing-bo,ZHOU Bing,LI Xiu-lian,et al.Design and test of curved assist characteristic for electric vehicle EPS system[J].,2011,(07):96.
[7]裴文卉,张承慧,崔纳新,等.电动汽车用感应电机最小损耗Hamilton控制[J].电机与控制学报,2012,(04):1.
 PEI Wen-hui,ZHANG Cheng-hui,CUI Na-xin,et al.Loss-minimization Hamilton control of induction motor for electric vehicles[J].,2012,(07):1.
[8]张磊,温旭辉.车用永磁同步电机径向电磁振动特性[J].电机与控制学报,2012,(05):33.
 ZHANG Lei,WEN Xu-hui.Radial electromagnetic vibration model characteristics of PMSMs for electric vehicles[J].,2012,(07):33.
[9]朱显辉,崔淑梅,师楠,等.电动汽车电机可靠性的灰色预测模型[J].电机与控制学报,2012,(08):42.
 ZHU Xian-hui,CUI Shu-mei,SHI Nan,et al.Grey prediction model of motor reliability of electric vehicle[J].,2012,(07):42.
[10]赵景波,周冰,贝绍轶,等.侧风干扰工况电动汽车EPS反向助力控制及试验[J].电机与控制学报,2012,(09):103.
 ZHAO Jing-bo,ZHOU Bing,BEI Shao-yi.Reverse assistance control and tests of electric vehicle EPS system under anti-wind interference condition[J].,2012,(07):103.

备注/Memo

备注/Memo:
收稿日期: 2016 - 03 - 09
基金项目: 国家自然科学基金( 61403105) ; 中国汽车产业创新发展联合基金( U1564207)
作者简介: 钟国旗( 1983—) ,男,博士,研究方向为分布式预测控制;
刘志远( 1957—) ,男,博士,教授,博士生导师,研究方向为汽车电子控制、预测控制;
何 朕( 1972—) ,女,博士,教授,博士生导师,研究方向为 H∞控制、非线性控制;
井后华( 1982—) ,男,讲师,研究方向为汽车制动控制。
更新日期/Last Update: 2018-09-28