The electro-hydraulic servo system was studied to cancel the amplitude attenuation and phase delay of its sinusoidal response,by developing a network using normalized least-mean-square (LMS) adaptive filtering algorit...The electro-hydraulic servo system was studied to cancel the amplitude attenuation and phase delay of its sinusoidal response,by developing a network using normalized least-mean-square (LMS) adaptive filtering algorithm.The command input was corrected by weights to generate the desired input for the algorithm,and the feedback was brought into the feedback correction,whose output was the weighted feedback.The weights of the normalized LMS adaptive filtering algorithm were updated on-line according to the estimation error between the desired input and the weighted feedback.Thus,the updated weights were copied to the input correction.The estimation error was forced to zero by the normalized LMS adaptive filtering algorithm such that the weighted feedback was equal to the desired input,making the feedback track the command.The above concept was used as a basis for the development of amplitude phase control.The method has good real-time performance without estimating the system model.The simulation and experiment results show that the proposed amplitude phase control can efficiently cancel the amplitude attenuation and phase delay with high precision.展开更多
为了满足预见性巡航控制(predictive cruise control,PCC)系统对重型卡车质量的精度要求,针对传统重型卡车质量估计算法的不足,设计了重型卡车的质量估计系统。开发了基于车辆纵向动力学和基于高精度地图的卡车质量估算策略,采用归一化...为了满足预见性巡航控制(predictive cruise control,PCC)系统对重型卡车质量的精度要求,针对传统重型卡车质量估计算法的不足,设计了重型卡车的质量估计系统。开发了基于车辆纵向动力学和基于高精度地图的卡车质量估算策略,采用归一化最小均方(normalized least mean square,NLMS)算法对估计质量进行了平滑性处理;完成了质量估计系统的硬件设计;搭建了质量估计算法的Simulink模型,采用基于模型设计的方法进行了系统软件的开发;实车验证了整个系统的可靠性以及质量估计算法的精确性。试验结果表明:与实际的卡车质量相比,质量估计系统计算得到的卡车质量的误差在9%以内。展开更多
基金Project(50905037) supported by the National Natural Science Foundation of ChinaProject(20092304120014) supported by Specialized Research Fund for the Doctoral Program of Higher Education of China+2 种基金 Project(20100471021) supported by the China Postdoctoral Science Foundation Project(LBH-Q09134) supported by Heilongjiang Postdoctoral Science-Research Foundation,China Project (HEUFT09013) supported by the Foundation of Harbin Engineering University,China
文摘The electro-hydraulic servo system was studied to cancel the amplitude attenuation and phase delay of its sinusoidal response,by developing a network using normalized least-mean-square (LMS) adaptive filtering algorithm.The command input was corrected by weights to generate the desired input for the algorithm,and the feedback was brought into the feedback correction,whose output was the weighted feedback.The weights of the normalized LMS adaptive filtering algorithm were updated on-line according to the estimation error between the desired input and the weighted feedback.Thus,the updated weights were copied to the input correction.The estimation error was forced to zero by the normalized LMS adaptive filtering algorithm such that the weighted feedback was equal to the desired input,making the feedback track the command.The above concept was used as a basis for the development of amplitude phase control.The method has good real-time performance without estimating the system model.The simulation and experiment results show that the proposed amplitude phase control can efficiently cancel the amplitude attenuation and phase delay with high precision.
文摘为了满足预见性巡航控制(predictive cruise control,PCC)系统对重型卡车质量的精度要求,针对传统重型卡车质量估计算法的不足,设计了重型卡车的质量估计系统。开发了基于车辆纵向动力学和基于高精度地图的卡车质量估算策略,采用归一化最小均方(normalized least mean square,NLMS)算法对估计质量进行了平滑性处理;完成了质量估计系统的硬件设计;搭建了质量估计算法的Simulink模型,采用基于模型设计的方法进行了系统软件的开发;实车验证了整个系统的可靠性以及质量估计算法的精确性。试验结果表明:与实际的卡车质量相比,质量估计系统计算得到的卡车质量的误差在9%以内。
