检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:Jamal El-bakkouri Hamid Ouadi Fouad Giri Mohamed Khafallah
机构地区:[1]ENSEM,Hassan II University of Casablanca,Casablanca BP 8118,Morocco [2]ENSAM Rabat,Mohammed V University,Rabat BP 6207,Morocco [3]Department of Electrical Engineering,University of Caen Normandy,Caen 14032,France
出 处:《Chinese Journal of Electrical Engineering》2023年第4期73-87,共15页中国电气工程学报(英文)
摘 要:Designing high-gain observers(HGOs)for the state estimation of an electric vehicle’s electrohydraulic brake(EHB)system is challenging.This type of observer is applicable to model nonlinearities and constant feature gains.However,they are very sensitive to measurement noise,which is unavoidable in EHB.The first novelty of this study is that it compensates for the measurement noise using a filtered high-gain observer(FHGO)to ensure EHB state estimation.The proposed FHGO provides an estimate of the master cylinder pressure,motor current,and rotor speed from measurements of the rotor position.The second novelty is the design of an extremum-seeking(ES)optimization loop to adjust the FHGO gains online.The performance of the developed FHGO with ES-based online gain optimization was highlighted in the presence of model uncertainties and output measurement noise using a Matlab/Simulink simulation.The superiority of the FHGO(even with a fixed gain)over a standard high gain observer(SHGO)was also demonstrated.
关 键 词:Electrohydraulic brake filtered HGO measurement noise OPTIMIZATION extremum-seeking Lyapunov theory
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.38