A novel method of matching stiffness and continuous variable damping of an ECAS(electronically controlled air suspension) based on LQG(linear quadratic Gaussian) control was proposed to simultaneously improve the road...A novel method of matching stiffness and continuous variable damping of an ECAS(electronically controlled air suspension) based on LQG(linear quadratic Gaussian) control was proposed to simultaneously improve the road-friendliness and ride comfort of a two-axle school bus.Taking account of the suspension nonlinearities and target-height-dependent variation in suspension characteristics,a stiffness model of the ECAS mounted on the drive axle of the bus was developed based on thermodynamics and the key parameters were obtained through field tests.By determining the proper range of the target height for the ECAS of the fully-loaded bus based on the design requirements of vehicle body bounce frequency,the control algorithm of the target suspension height(i.e.,stiffness) was derived according to driving speed and road roughness.Taking account of the nonlinearities of a continuous variable semi-active damper,the damping force was obtained through the subtraction of the air spring force from the optimum integrated suspension force,which was calculated based on LQG control.Finally,a GA(genetic algorithm)-based matching method between stepped variable damping and stiffness was employed as a benchmark to evaluate the effectiveness of the LQG-based matching method.Simulation results indicate that compared with the GA-based matching method,both dynamic tire force and vehicle body vertical acceleration responses are markedly reduced around the vehicle body bounce frequency employing the LQG-based matching method,with peak values of the dynamic tire force PSD(power spectral density) decreased by 73.6%,60.8% and 71.9% in the three cases,and corresponding reduction are 71.3%,59.4% and 68.2% for the vehicle body vertical acceleration.A strong robustness to variation of driving speed and road roughness is also observed for the LQG-based matching method.展开更多
针对电控空气悬架(electronically controlled air suspension,简称ECAS)系统在车高调节过程中由于传感器故障频发导致控制效果变差的问题,提出一种能够对电控空气悬架系统传感器故障进行诊断的方法。首先,采用AMESim软件搭建ECAS系统...针对电控空气悬架(electronically controlled air suspension,简称ECAS)系统在车高调节过程中由于传感器故障频发导致控制效果变差的问题,提出一种能够对电控空气悬架系统传感器故障进行诊断的方法。首先,采用AMESim软件搭建ECAS系统物理模型以实现空气弹簧特性的精确描述,同时在Matlab/Simulink中搭建路面激励和传感器故障的数学模型;其次,针对车辆ECAS系统的非线性特性,采用扩展卡尔曼滤波器组设计故障诊断方案,并进行不同传感器不同故障类型的联合仿真;最后,搭建了1/4ECAS系统台架,进行车高调节过程中传感器故障诊断试验。试验结果表明,所提出的方法能够准确地辨识ECAS系统传感器的典型故障,较好地隔离不同的故障传感器,为ECAS系统的准确可靠运行提供了保证。展开更多
Vehicle height and leveling control of electronically controlled air suspension(ECAS) still poses theoretical challenges for researchers that have not been adequately addressed in prior research. This paper investigat...Vehicle height and leveling control of electronically controlled air suspension(ECAS) still poses theoretical challenges for researchers that have not been adequately addressed in prior research. This paper investigates the design and verification of a new controller to adjust the vehicle height and to regulate the roll and pitch angles of the vehicle body(leveling control) during the height adjustment procedures. A nonlinear mechanism model of the vehicle height adjustment system is formulated to describe the dynamic behaviors of the system. By using mixed logical dynamical(MLD) approach, a novel control strategy is proposed to adjust the vehicle height by controlling the on-off statuses of the solenoid valves directly. On this basis, a correction algorithm is also designed to regulate the durations of the on-off statuses of the solenoid valves based on pulse width modulated(PWM) technology, thus the effective leveling control of the vehicle body can be guaranteed. Finally, simulations and vehicle tests results are presented to demonstrate the effectiveness and applicability of the proposed control methodology.展开更多
电控空气悬架(electronically controlled air suspension,ECAS)系统的有效控制依赖于传感器实时采集的正确车身状态信号。针对电控空气悬架传感器卡死、恒偏差、恒增益3种故障,建立1种ECAS故障检测与隔离方法(fault detection and isol...电控空气悬架(electronically controlled air suspension,ECAS)系统的有效控制依赖于传感器实时采集的正确车身状态信号。针对电控空气悬架传感器卡死、恒偏差、恒增益3种故障,建立1种ECAS故障检测与隔离方法(fault detection and isolation,FDI)。建立电控空气悬架三自由度1/4车模型以及传感器故障时空气悬架模型,设计故障检测滤波器组,结合传感器实时测量值获得空气悬架输出残差,在此基础上确定故障检测指标,计算指标数值并选取适当阈值进行比较。诊断滤波器采用强跟踪滤波器方法进行设计,选取两级决策变量构造隔离决策函数,实现对故障传感器的检测与隔离。仿真分析表明,所提出的基于STF的方法实现了ECAS传感器故障的检测与隔离,有效提高了车辆控制的可靠性与安全性。展开更多
基金Projects(51305117,51178158)supported by the National Natural Science Foundation of ChinaProject(20130111120031)supported by the Specialized Research Fund for the Doctoral Program of Higher Education+1 种基金Project(2013M530230)supported by the China Postdoctoral Science FoundationProjects(2012HGQC0015,2011HGBZ0945)supported by the Fundamental Research Funds for the Central Universities,China
文摘A novel method of matching stiffness and continuous variable damping of an ECAS(electronically controlled air suspension) based on LQG(linear quadratic Gaussian) control was proposed to simultaneously improve the road-friendliness and ride comfort of a two-axle school bus.Taking account of the suspension nonlinearities and target-height-dependent variation in suspension characteristics,a stiffness model of the ECAS mounted on the drive axle of the bus was developed based on thermodynamics and the key parameters were obtained through field tests.By determining the proper range of the target height for the ECAS of the fully-loaded bus based on the design requirements of vehicle body bounce frequency,the control algorithm of the target suspension height(i.e.,stiffness) was derived according to driving speed and road roughness.Taking account of the nonlinearities of a continuous variable semi-active damper,the damping force was obtained through the subtraction of the air spring force from the optimum integrated suspension force,which was calculated based on LQG control.Finally,a GA(genetic algorithm)-based matching method between stepped variable damping and stiffness was employed as a benchmark to evaluate the effectiveness of the LQG-based matching method.Simulation results indicate that compared with the GA-based matching method,both dynamic tire force and vehicle body vertical acceleration responses are markedly reduced around the vehicle body bounce frequency employing the LQG-based matching method,with peak values of the dynamic tire force PSD(power spectral density) decreased by 73.6%,60.8% and 71.9% in the three cases,and corresponding reduction are 71.3%,59.4% and 68.2% for the vehicle body vertical acceleration.A strong robustness to variation of driving speed and road roughness is also observed for the LQG-based matching method.
文摘针对电控空气悬架(electronically controlled air suspension,简称ECAS)系统在车高调节过程中由于传感器故障频发导致控制效果变差的问题,提出一种能够对电控空气悬架系统传感器故障进行诊断的方法。首先,采用AMESim软件搭建ECAS系统物理模型以实现空气弹簧特性的精确描述,同时在Matlab/Simulink中搭建路面激励和传感器故障的数学模型;其次,针对车辆ECAS系统的非线性特性,采用扩展卡尔曼滤波器组设计故障诊断方案,并进行不同传感器不同故障类型的联合仿真;最后,搭建了1/4ECAS系统台架,进行车高调节过程中传感器故障诊断试验。试验结果表明,所提出的方法能够准确地辨识ECAS系统传感器的典型故障,较好地隔离不同的故障传感器,为ECAS系统的准确可靠运行提供了保证。
基金supported by the National Natural Science Foundation of China(Grant Nos.51375212,61403172&51305167)Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)Key Research and Development Program of Jiangsu Province(Grant No.BE2016149)
文摘Vehicle height and leveling control of electronically controlled air suspension(ECAS) still poses theoretical challenges for researchers that have not been adequately addressed in prior research. This paper investigates the design and verification of a new controller to adjust the vehicle height and to regulate the roll and pitch angles of the vehicle body(leveling control) during the height adjustment procedures. A nonlinear mechanism model of the vehicle height adjustment system is formulated to describe the dynamic behaviors of the system. By using mixed logical dynamical(MLD) approach, a novel control strategy is proposed to adjust the vehicle height by controlling the on-off statuses of the solenoid valves directly. On this basis, a correction algorithm is also designed to regulate the durations of the on-off statuses of the solenoid valves based on pulse width modulated(PWM) technology, thus the effective leveling control of the vehicle body can be guaranteed. Finally, simulations and vehicle tests results are presented to demonstrate the effectiveness and applicability of the proposed control methodology.
文摘电控空气悬架(electronically controlled air suspension,ECAS)系统的有效控制依赖于传感器实时采集的正确车身状态信号。针对电控空气悬架传感器卡死、恒偏差、恒增益3种故障,建立1种ECAS故障检测与隔离方法(fault detection and isolation,FDI)。建立电控空气悬架三自由度1/4车模型以及传感器故障时空气悬架模型,设计故障检测滤波器组,结合传感器实时测量值获得空气悬架输出残差,在此基础上确定故障检测指标,计算指标数值并选取适当阈值进行比较。诊断滤波器采用强跟踪滤波器方法进行设计,选取两级决策变量构造隔离决策函数,实现对故障传感器的检测与隔离。仿真分析表明,所提出的基于STF的方法实现了ECAS传感器故障的检测与隔离,有效提高了车辆控制的可靠性与安全性。
