Considering packet losses, time-varying delay, and parameter uncertainty in the switched fuzzy system, this paper designs a robust fault detection filter at any switching rate and analyzes the H∞ performance of the s...Considering packet losses, time-varying delay, and parameter uncertainty in the switched fuzzy system, this paper designs a robust fault detection filter at any switching rate and analyzes the H∞ performance of the system. Firstly, the Takagi-Sugeno(T-S) fuzzy model is used to establish a global fuzzy model for the uncertain nonlinear time-delay switched system,and the packet loss process is modeled as a mathematical model satisfying Bernoulli distribution. Secondly, through the average dwell time method and multiple Lyapunov functions, the exponentially stable condition of the nonlinear network switched system is given. Finally, specific parameters of the robust fault detection filter can be obtained by solving linear matrix inequalities(LMIs). The effectiveness of the method is verified by simulation results.展开更多
利用保护动作信息量的传统故障定位方法是在保护动作之后完成故障定位的,在时限上难以满足广域自适应后备保护的要求,特别在站用直流电源消失的情况下,传统方法很难定位出原发性故障。针对上述问题,作者基于广域测量系统(wide area meas...利用保护动作信息量的传统故障定位方法是在保护动作之后完成故障定位的,在时限上难以满足广域自适应后备保护的要求,特别在站用直流电源消失的情况下,传统方法很难定位出原发性故障。针对上述问题,作者基于广域测量系统(wide area measurement system,WAMS)的实时量测信息,提出应用模糊C均值法对广域信息数据构成的样本进行最优分类,从而定位出故障元件和故障区域的方法。仿真结果表明,该方法不仅能快速、准确地定位出原发性故障,同时能够界定出受故障影响明显的区域,而且满足广域自适应后备保护的时限性要求。展开更多
基金supported by the National Natural Science Foundation of China (61471323)。
文摘Considering packet losses, time-varying delay, and parameter uncertainty in the switched fuzzy system, this paper designs a robust fault detection filter at any switching rate and analyzes the H∞ performance of the system. Firstly, the Takagi-Sugeno(T-S) fuzzy model is used to establish a global fuzzy model for the uncertain nonlinear time-delay switched system,and the packet loss process is modeled as a mathematical model satisfying Bernoulli distribution. Secondly, through the average dwell time method and multiple Lyapunov functions, the exponentially stable condition of the nonlinear network switched system is given. Finally, specific parameters of the robust fault detection filter can be obtained by solving linear matrix inequalities(LMIs). The effectiveness of the method is verified by simulation results.
文摘利用保护动作信息量的传统故障定位方法是在保护动作之后完成故障定位的,在时限上难以满足广域自适应后备保护的要求,特别在站用直流电源消失的情况下,传统方法很难定位出原发性故障。针对上述问题,作者基于广域测量系统(wide area measurement system,WAMS)的实时量测信息,提出应用模糊C均值法对广域信息数据构成的样本进行最优分类,从而定位出故障元件和故障区域的方法。仿真结果表明,该方法不仅能快速、准确地定位出原发性故障,同时能够界定出受故障影响明显的区域,而且满足广域自适应后备保护的时限性要求。
