辅助动力单元(auxiliary power unit,APU)的系统构型和控制策略对串联混合动力汽车的燃油经济性有很大的影响.利用Matlab/Simulink建立了带有PWM整流器和不可控整流器的两种APU系统模型,并分别将ON/OFF控制策略和负载跟随控制策略应用...辅助动力单元(auxiliary power unit,APU)的系统构型和控制策略对串联混合动力汽车的燃油经济性有很大的影响.利用Matlab/Simulink建立了带有PWM整流器和不可控整流器的两种APU系统模型,并分别将ON/OFF控制策略和负载跟随控制策略应用在两种APU系统中,利用能量流图分析了系统主要部件的效率.仿真结果表明,相比带有不可控整流器构型的APU及负载跟随控制方法,采用PWM整流器构型的APU及ON/OFF的控制方法具有较好的燃油经济性.展开更多
该文在介绍辅助动力单元APU（auxiliary power unit）系统构成的基础上，着重解决了APU系统中柴油机的转速控制方法。由于发电机的影响，APU系统中对柴油机的转速调节比普通的柴油机调速更加复杂。该文针对电控柴油机的运行状况，用dSP...该文在介绍辅助动力单元APU（auxiliary power unit）系统构成的基础上，着重解决了APU系统中柴油机的转速控制方法。由于发电机的影响，APU系统中对柴油机的转速调节比普通的柴油机调速更加复杂。该文针对电控柴油机的运行状况，用dSPACE控制器输出模拟量代替电子油门的方法对电控泵喷嘴的柴油机实现了电子调速，同时分析了PI控制的各项参数对APU的转速控制的影响。展开更多
提出一种优化相关向量机的寿命预测方法,并用于对辅助动力系统(Auxiliary power unit,APU)涡轮的剩余寿命预测。首先,提出了改进的核函数,兼顾效率和精度,用天牛须搜索(Beetle antennae search,BAS)算法对相关向量机的核参数进行优化,...提出一种优化相关向量机的寿命预测方法,并用于对辅助动力系统(Auxiliary power unit,APU)涡轮的剩余寿命预测。首先,提出了改进的核函数,兼顾效率和精度,用天牛须搜索(Beetle antennae search,BAS)算法对相关向量机的核参数进行优化,建立寿命预测模型;然后,对历史数据进行分析,提取排气温度(Exhaust gas temperature,EGT)并进行修正、降噪,用多项式回归建立了EGT的涡轮性能退化模式库;最后,实例验证表明,文中算法在APU涡轮剩余寿命预测上与传统相关向量机相比效率提高40%,精度提高20%,通过敏感性分析确定了最佳的初始步长和输入维度。展开更多
为进行辅助动力装置(Auxiliary Power Unit,APU)特性计算,以某型APU为研究对象,基于MATLAB/Simulink建立其部件级模型。鉴于N-R法的固有缺陷,引入PSO(Particle Swarm Optimization)算法,并提出叛逆粒子和自适应学习因子以改进算法全局...为进行辅助动力装置(Auxiliary Power Unit,APU)特性计算,以某型APU为研究对象,基于MATLAB/Simulink建立其部件级模型。鉴于N-R法的固有缺陷,引入PSO(Particle Swarm Optimization)算法,并提出叛逆粒子和自适应学习因子以改进算法全局收敛性和收敛速度,用于模型求解。对比基本PSO算法和改进算法,验证改进方法的有效性。同时将计算结果与实际试车数据比较,表明所采用的建模与求解方法满足工程应用。展开更多
This paper addresses the gas path component and sensor fault diagnosis and isolation(FDI) for the auxiliary power unit(APU). A nonlinear dynamic model and a distributed state estimator are combined for the distributed...This paper addresses the gas path component and sensor fault diagnosis and isolation(FDI) for the auxiliary power unit(APU). A nonlinear dynamic model and a distributed state estimator are combined for the distributed control system. The distributed extended Kalman filter(DEKF)is served as a state estimator,which is utilized to estimate the gas path components’ flow capacity. The DEKF includes one main filter and five sub-filter groups related to five sensors of APU and each sub-filter yields local state flow capacity. The main filter collects and fuses the local state information,and then the state estimations are feedback to the sub-filters. The packet loss model is introduced in the DEKF algorithm in the APU distributed control architecture. FDI strategy with a performance index named weight sum of squared residuals(WSSR) is designed and used to identify the APU sensor fault by removing one sub-filter each time. The very sensor fault occurs as its performance index WSSR is different from the remaining sub-filter combinations. And the estimated value of the soft redundancy replaces the fault sensor measurement to isolate the fault measurement. It is worth noting that the proposed approach serves for not only the sensor failure but also the hybrid fault issue of APU gas path components and sensors. The simulation and comparison are systematically carried out by using the APU test data,and the superiority of the proposed methodology is verified.展开更多
基金Supported by National Natural Science Foundation(NNSF)of China(51105220)funded by the MOST(Ministry of Science and Technology)of China(20103010017),funded by the MOST(Ministry of Science and Technology)of China(20111861171)funded by the Tsinghua University Initiative Scientific Research Program(2010THZ08116)
文摘辅助动力单元(auxiliary power unit,APU)的系统构型和控制策略对串联混合动力汽车的燃油经济性有很大的影响.利用Matlab/Simulink建立了带有PWM整流器和不可控整流器的两种APU系统模型,并分别将ON/OFF控制策略和负载跟随控制策略应用在两种APU系统中,利用能量流图分析了系统主要部件的效率.仿真结果表明,相比带有不可控整流器构型的APU及负载跟随控制方法,采用PWM整流器构型的APU及ON/OFF的控制方法具有较好的燃油经济性.
文摘该文在介绍辅助动力单元APU（auxiliary power unit）系统构成的基础上，着重解决了APU系统中柴油机的转速控制方法。由于发电机的影响，APU系统中对柴油机的转速调节比普通的柴油机调速更加复杂。该文针对电控柴油机的运行状况，用dSPACE控制器输出模拟量代替电子油门的方法对电控泵喷嘴的柴油机实现了电子调速，同时分析了PI控制的各项参数对APU的转速控制的影响。
文摘提出一种优化相关向量机的寿命预测方法,并用于对辅助动力系统(Auxiliary power unit,APU)涡轮的剩余寿命预测。首先,提出了改进的核函数,兼顾效率和精度,用天牛须搜索(Beetle antennae search,BAS)算法对相关向量机的核参数进行优化,建立寿命预测模型;然后,对历史数据进行分析,提取排气温度(Exhaust gas temperature,EGT)并进行修正、降噪,用多项式回归建立了EGT的涡轮性能退化模式库;最后,实例验证表明,文中算法在APU涡轮剩余寿命预测上与传统相关向量机相比效率提高40%,精度提高20%,通过敏感性分析确定了最佳的初始步长和输入维度。
文摘为进行辅助动力装置(Auxiliary Power Unit,APU)特性计算,以某型APU为研究对象,基于MATLAB/Simulink建立其部件级模型。鉴于N-R法的固有缺陷,引入PSO(Particle Swarm Optimization)算法,并提出叛逆粒子和自适应学习因子以改进算法全局收敛性和收敛速度,用于模型求解。对比基本PSO算法和改进算法,验证改进方法的有效性。同时将计算结果与实际试车数据比较,表明所采用的建模与求解方法满足工程应用。
基金supported by the National Natural Science Foundation of China(No.91960110)the National Science and Technology Major Project(No. 2017-I0006-0007)the Fundamental Research Funds for the Central Universities(NP2022418)。
文摘This paper addresses the gas path component and sensor fault diagnosis and isolation(FDI) for the auxiliary power unit(APU). A nonlinear dynamic model and a distributed state estimator are combined for the distributed control system. The distributed extended Kalman filter(DEKF)is served as a state estimator,which is utilized to estimate the gas path components’ flow capacity. The DEKF includes one main filter and five sub-filter groups related to five sensors of APU and each sub-filter yields local state flow capacity. The main filter collects and fuses the local state information,and then the state estimations are feedback to the sub-filters. The packet loss model is introduced in the DEKF algorithm in the APU distributed control architecture. FDI strategy with a performance index named weight sum of squared residuals(WSSR) is designed and used to identify the APU sensor fault by removing one sub-filter each time. The very sensor fault occurs as its performance index WSSR is different from the remaining sub-filter combinations. And the estimated value of the soft redundancy replaces the fault sensor measurement to isolate the fault measurement. It is worth noting that the proposed approach serves for not only the sensor failure but also the hybrid fault issue of APU gas path components and sensors. The simulation and comparison are systematically carried out by using the APU test data,and the superiority of the proposed methodology is verified.
