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机构地区:[1]浙江工业大学计算机科学与技术学院,浙江杭州310023
出 处:《浙江工业大学学报》2015年第1期103-109,共7页Journal of Zhejiang University of Technology
基 金:国家自然科学基金资助项目(61104095)
摘 要:针对一类具有噪声影响的通信受限多输入、多输出网络控制系统,利用非均匀采样方式将其建模为一类集控制与调度为一体的网络化控制模型,根据卡尔曼滤波器思想设计了最优状态估计器和最优保性能输出反馈控制器并在此基础上给出系统渐近稳定的充分条件.通过仿真验证了所提算法的可行性.该设计方法特别适用于通信受限情况下,系统存在多种信号类型时,可方便的根据不同信号特征设置系统的采样周期和调度周期,从而克服原离散周期性时变系统的控制器受通信序列周期性约束问题,避免多个控制器周期性切换,增加控制系统设计的自由度,提高系统动态重构能力和整体性能.The problem of LQG controller design for a class of MIMO networked control systems(NCSs)with limited communication and noise is studied in this paper.Firstly,a new network control model for the integration of control and scheduling is established by using non-uniform sampling method.Secondly,according to the design method of the Kalman filtering,an optimal state estimator based on the output value and the corresponding optimal guaranteed cost output feedback controller is proposed.An sufficient condition for asymptotic stability of the system is given.Finally,the simulation verifies the feasibility of the proposed algorithm.The design method is particularly applicable to the case under limited communication.When the system has a variety of signal types in the networked control systems,it will be convenient to set the sampling periods and scheduling periods according to the feature of each signal.It will overcome the problem of the controllers in original discrete periodically varying systems constrained periodically by communication sequence.It will avoid periodically switching among multiple controllers,increase the design freedom of control system,and improve the system dynamical reconfiguration capability and overall performance.
关 键 词:网络控制系统 通信受限 线性矩阵不等式 卡尔曼滤波 LQG最优控制
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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