在液压APC(Autom atic Position Control)系统中,由于存在控制干扰和测量噪声,为了达到控制精度,通常采取低通滤波,但效果不甚理想。为此,本文提出了一种基于卡尔曼滤波器的控制方法,该方法采用时域上的递推算法进行数字滤波处理,通过...在液压APC(Autom atic Position Control)系统中,由于存在控制干扰和测量噪声,为了达到控制精度,通常采取低通滤波,但效果不甚理想。为此,本文提出了一种基于卡尔曼滤波器的控制方法,该方法采用时域上的递推算法进行数字滤波处理,通过仿真和实际应用证明该方法使APC系统运行平稳,大大提高了APC系统的精度。展开更多
A novel decentralized indirect adaptive output feedback fuzzy controller is developed for a class of large-scale uncertain nonlinear systems using error filtering.By the properly filtering of the observation error dyn...A novel decentralized indirect adaptive output feedback fuzzy controller is developed for a class of large-scale uncertain nonlinear systems using error filtering.By the properly filtering of the observation error dynamics,the strictly positive-real condition is guaranteed to hold such that the proposed output feedback and adaptation mechanisms are practicable in practice owing to the fact that its implementation does not require the observation error vector itself any more,which corrects the impracticable schemes in the previous literature involved.The presented control algorithm can ensure that all the signals of the closed-loop large-scale system keep uniformly ultimately bounded and that the tracking error converges to zero asymptotically.The decentralized output feedback fuzzy controller can be applied to address the longitudinal control problem of a string of vehicles within an automated highway system（AHS） and the effectiveness of the design procedure is supported by simulation results.展开更多
文摘在液压APC(Autom atic Position Control)系统中,由于存在控制干扰和测量噪声,为了达到控制精度,通常采取低通滤波,但效果不甚理想。为此,本文提出了一种基于卡尔曼滤波器的控制方法,该方法采用时域上的递推算法进行数字滤波处理,通过仿真和实际应用证明该方法使APC系统运行平稳,大大提高了APC系统的精度。
基金supported by the National Natural Science Foundation of China (6096400460864004+2 种基金50808025)the Fok Ying Tung Education Foundation (122013)the Scientific Research Fund of Hunan Provincial Education Department (08A003)
文摘A novel decentralized indirect adaptive output feedback fuzzy controller is developed for a class of large-scale uncertain nonlinear systems using error filtering.By the properly filtering of the observation error dynamics,the strictly positive-real condition is guaranteed to hold such that the proposed output feedback and adaptation mechanisms are practicable in practice owing to the fact that its implementation does not require the observation error vector itself any more,which corrects the impracticable schemes in the previous literature involved.The presented control algorithm can ensure that all the signals of the closed-loop large-scale system keep uniformly ultimately bounded and that the tracking error converges to zero asymptotically.The decentralized output feedback fuzzy controller can be applied to address the longitudinal control problem of a string of vehicles within an automated highway system（AHS） and the effectiveness of the design procedure is supported by simulation results.
