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1.
    
In this paper, an indirect filtering fault-tolerant control method is proposed for interconnected time-delay systems with multiple sensor and actuator faults. As is well known, directly utilizing the state information obtained from sensors with faults to constrain the actual state poses great challenges. This article utilizes conservative sensor fault loss information to indirectly apply time-varying asymmetric constraints to the actual state while ensuring compliance with fault state constraints. In addition, the conservatism requirement of the initial state is reduced by utilizing carefully constructed delay constraint functions. To solve the problem of “explosion of complexity,” the derivative of the output signal of the filter is used to replace the derivative of the virtual control rate. The Nussbaum function can effectively alleviate the impact of multiple actuator failures and unknown control directions on the system. The effectiveness of the proposed control strategy is verified through simulation examples.  相似文献   

2.
探讨存在数据丢失二维Roesser系统的量化状态反馈控制器设计问题。假设二维系统在网络控制系统中运行且系统状态全部可测,测量到的状态数据量化后经网络进行传输,同时由于网络自身限制伴随数据包丢失现象的发生。首先将数据丢失描述成取值为0或1的随机伯努利序列,定义了随机意义下二维系统的均方稳定性。其次,采用扇形界方法处理数据量化造成的误差,给出一个闭环系统均方渐进稳定的充分条件,基于该条件可通过求解线性矩阵不等式设计状态反馈控制器。最后,仿真示例验证了所提设计方法的有效性。  相似文献   

3.
    
We consider the problem of distributed state estimation over a sensor network in which a set of nodes collaboratively estimates the state of a continuous‐time linear time‐varying system. In particular, our work focuses on the benefits of weight adaptation of the interconnection gains in distributed Kalman filters. To this end, an adaptation strategy is proposed with the adaptive laws derived via a Lyapunov‐redesign approach. The justification for the gain adaptation stems from a desire to adapt the pairwise difference of state estimates as a function of their agreement, thereby enforcing an interconnection‐dependent gain. In the proposed scheme, an adaptive gain for each pairwise difference of the interconnection terms is used in order to address edge‐dependent differences in the state estimates. Accounting for node‐specific differences, a special case of the scheme is also presented, where it uses a single adaptive gain in each node estimate and which uniformly penalizes all pairwise differences of state estimates in the interconnection term. The filter gains can be designed either by standard Kalman filter or Luenberger observer to construct the adaptive distributed Kalman filter or adaptive distributed Luenberger observer. Stability of the schemes has been shown, and it is not restricted by the graph topology and therefore the schemes are applicable to both directed and undirected graphs. The proposed algorithms offer a significant reduction in communication costs associated with information flow by the nodes. Finally, numerical studies are presented to illustrate the performance and effectiveness of the proposed adaptive distributed Kalman filters. Copyright © 2015 John Wiley & Sons, Ltd.  相似文献   

4.
    
We consider the problem of stochastic identification of multiple sinusoids from intermittently missing measurements of superimposed signal. An alternate problem formulation is presented as estimation of amplitude and frequency of the sinusoids from missing measurements. The popularly known estimation methods, such as the extended Kalman filter (EKF) and cubature Kalman filter (CKF) may fail or suffer from poor accuracy if the measurements are missing. In this paper, we redesign the EKF to handle this irregularity in measurements and apply the modified EKF for the formulated estimation problem. In this regard, we introduce a modified measurement model incorporating the possibility of missing measurements. Subsequently, we rederive the relevant parameters of the EKF, such as measurement estimate, measurement error covariance, and state-measurement cross-covariance, for the modified measurement model. Furthermore, we rederive the posterior covariance with minimized trace and study the stability of the resulting extension of the EKF. The results reveal the superior performance of the modified EKF compared with the ordinary Gaussian filters and existing filters-based estimation of the sinusoids in the presence of intermittently missing measurements.  相似文献   

5.
汽轮发电机故障缺陷分析   总被引:3,自引:0,他引:3  
曹华达 《大电机技术》1998,(5):23-27,33
本文分析了山东省1995 ̄1996年100WM级以上发电机的故障,并提出了安全技术措施。  相似文献   

6.
电力系统自适应基波提取与频率跟踪算法   总被引:4,自引:0,他引:4  
传统的电网频率跟踪算法一般依赖于调整所选电网模型的响应速度或精度来增强电力系统异常情况下的稳定性,为减小电网谐波或噪声对频率测量的影响,提出了一种自适应基波提取与频率跟踪算法。该算法通过对电网状态的预估,获得电网频率与电压幅值的估计值,用于实时更新无限冲击响应滤波器系数,实现电网的白适应基波提取,同时还给出了滤波器在系数切换时快速稳定的方法,在此基础上,引入鲁棒扩展卡尔曼滤波算法,实现对基波频率的精确跟踪。仿真和实测结果表明,该算法响应速度快,测量精度高,可有效抑制电网噪声对频率跟踪结果的影响,且算法复杂度较低,可以满足电力系统实时应用的要求。  相似文献   

7.
冲击电压测试设备及仪器需要进行校准以保证冲击电压试验结果的准确性,为此研制了一种校准冲击电压测试设备仪器的冲击电压校准器。在介绍了设计原理后进行了不确定度分析和量值溯源。校准器的电压量程范围为30~1000V,能产生满足IEC60060-1:1989的标准雷电和操作冲击波,并且通过高精度直流电压源以及组成冲击回路的高精度、高稳定度的电感、电容、电阻等基本元器件,从而将冲击电压的参数经过这些元件的不确定度传递到相应的直流电压标准及元件标准上去。经过不确定度来源的分析和评估,校准器所产生冲击电压峰值的不确定度为0.05%,时间参数的不确定度<0.5%,可作为校准冲击电压测试设备以及仪器的标准波源。  相似文献   

8.
    
In this paper, we investigate the robust weighted H filtering problem for networked systems with intermittent measurements under the discrete‐time framework. Multiple outputs of the plant are measured by separate sensors, each of which has a specific failure rate. Network‐induced delay, packet dropouts and network‐induced disorder phenomena are all incorporated in the modeling of the network link. The resulting closed‐loop system involves both delayed noise and non‐delayed noise. In order to make full use of the delayed information, we define a weighted H performance index. Sufficient delay‐dependent and parameter‐dependent conditions for the existence of the filter and the solvability of the addressed problem are given via a set of linear matrix inequalities. Two simulation examples are presented to illustrate the relationship between the minimal performance level and the weighting factor, which show the effectiveness of the proposed method. Copyright © 2010 John Wiley & Sons, Ltd.  相似文献   

9.
    
This article investigates the fuzzy sliding mode tracking problem for discrete-time nonlinear interconnected systems (ICSs) via a previewable information approach. First, an augmented system containing tracking errors and previewable reference and disturbance signals is established for discrete-time nonlinear ICSs according to a previewable length. Second, novel sliding surfaces are given and some sufficient conditions of making the sliding motion asymptotically stable are derived in term of linear matrix inequalities (LMIs). Next, fuzzy sliding mode control (SMC) laws are designed so that the controlled system can reach the sliding surfaces and keep on them thereafter, and compared to not having previewable signals, these designed control laws can also enable system outputs to better track the reference signals asymptotically. Finally, a simulation example is given to demonstrate the effectiveness of the proposed control law.  相似文献   

10.
基于FPGA实现高插入CIC滤波器   总被引:1,自引:0,他引:1  
为了产生调制信号的码元速率能在大范围内实时可变,采用插值滤波技术——多级积分梳状滤波器。在分析多级CIC滤波器的结构和特性的基础上,阐述了一种利用Hogenauer"剪除"理论实现多级CIC滤波器的高效FPGA实现方法,并通过XILINX的时序仿真分析验证了该方法的正确性和可行性,实际中可以推广应用。  相似文献   

11.
严盟  金聪  文昌 《电子测量技术》2011,(12):39-41,69
提出了一种新的高效的数字图像脉冲噪声检测和去噪方法.该方法主要由2部分组成:噪声的检测和噪声的去除.检测阶段主要的任务是将图像信号点和噪声点区分开来,噪声去除阶段的主要任务是对检测到的噪声进行滤波处理.用一种改进的中值滤波器和均值滤波器来去除检测到的噪声点.实验结果表明该方法与其他方法相比,在噪声去除和图像细节保护方面...  相似文献   

12.
    
This article investigates the adaptive neural network (NN) output-feedback event-triggered consensus secure control problem for a class of nonlinear multi-agent systems (MASs) under mixed sensor attacks and actuator faults. Since the considered nonlinear MASs contain unknown nonlinear dynamics, the NNs are first adopted to model unknown agents. Then, a nove NN learning secure state observer is proposed to estimate the sensor attacks and unmeasured states. To reduce unnecessary updating times of the actuator, an event-triggered mechanism is constructed. By using the backstepping control design technique and the design NN state observer, a NN adaptive output-feedback event-triggered consensus secure control scheme is formulated. It is proved that the developed consensus secure control scheme can guarantee the controlled nonlinear MASs are stable and consensus tracking errors converge even under mixed sensor attacks and actuator faults. Simulation and comparative results illustrate the effectiveness of the proposed scheme.  相似文献   

13.
    
Compared with the fault diagnosis, detection, and isolation literature, very few results are available to discuss control algorithms directly for multi‐input multi‐output nonlinear systems with both sensor and actuator faults in the fault tolerant control literature. In this work, we present a fault tolerant control algorithm to address the system output stabilization problem for a class of multi‐input multi‐output nonlinear systems with both parametric and nonparametric uncertainties, subject to sensor and actuator faults that can be both multiplicative and additive. All elements of the sensor measurements and actuator components can be faulty. Besides, the control input gain function is not fully known. Backstepping method is used in the analysis and control design. We show that under the proposed control scheme, uniformly ultimate boundedness of the system output is guaranteed, while all closed‐loop system signals stay bounded. In the cases where the sensor faults are only multiplicative, exponential convergence of the system state variables into small neighbourhoods around zero is guaranteed. An illustrative example on a robot manipulator model is presented in the end to further demonstrate the effectiveness of the proposed control scheme.  相似文献   

14.
电力电子设备的故障穿越(low voltage ride-through,LVRT)能力是保证电网故障后供电可靠性的基础,已成为当前的研究热点。以基于柔性电力电子开关(soft open point,SOP)的柔性互联配电网(flexible interconnected distribution net-work,FIDN)为对象,研究了不平衡工况下柔性互联配电网的SOP故障穿越策略研究。介绍了FIDN的典型架构,并详细分析了FIDN在不对称故障下的并网功率特性。深入探究了SOP功率补偿与阻抗间的耦合关系。针对SOP不平衡条件下的故障穿越问题,提出了考虑三相电流平衡的SOP低电压穿越控制策略,并在仿真平台上验证。结果表明,所提控制策略能够有效提高FIDN中SOP在不对称故障下的故障穿越能力。  相似文献   

15.
    
In this paper a frequency domain formulation for nonlinear arcing fault location is presented. The proposed fault location formulation uses as input data first cycles after the fault inception voltages and currents. The formulation is based on circuit analysis and a parameter estimation method. To consider the main characteristics of nonlinear arcing faults, a time varying resistance embedded in a nonlinear model is proposed and used. The formulation is developed for the case of the most frequent single line-to-ground faults using phase components. The effects of fault inception angle, time-varying series resistance, source impedance, load flow, sampling frequency and others factors are investigated and analyzed. This new approach was successfully tested through computer simulation and real data obtained from a Southern Brazilian Energy Utility. The proposed method was developed as dedicated software and is currently used by CEEE-GT.  相似文献   

16.
    
In general, the reconstruction performance of the conventional deconvolution filter is deteriorated by the missing data. In this paper, a fixed‐order deconvolution filter design method is proposed for the signal reconstruction from received signal with irregular missing data. The missing data model is based on a probabilistic structure. The probability of occurrence of missing data is unknown a prior. In this situation, the deconvolution filter design problem becomes a complicated nonlinear estimation problem. In this study, a design method based on genetic algorithms is proposed to treat the signal reconstruction design problem with irregular missing data. Finally, two examples are given to illustrate the simulation results of the proposed deconvolution filter. The results show that the reconstruction performance is improved significantly if the missing probability is considered in the deconvolution filter design procedure. Copyright © 2009 John Wiley & Sons, Ltd.  相似文献   

17.
    
The problem of robust stabilization for uncertain dynamic time‐delay systems is considered. Firstly a class of time‐delay systems with uncertainties bounded by high‐order polynomials and unknown coefficients are considered. The corresponding controller is designed by employing adaptive method. It is shown that the controller designed can render the closed‐loop system uniformly ultimately bounded stable based on Lyapunov–Krasovskii method and Lyapunov stability theory. Then the proposed adaptive idea is applied to stabilizing a class of large‐scale time‐delay systems with strong interconnections. A decentralized feedback adaptive controller is designed which guarantees the closed‐loop large‐scale systems uniformly ultimately bounded stable. Finally, numerical examples are given to show the potential of the proposed techniques. Copyright © 2005 John Wiley & Sons, Ltd.  相似文献   

18.
    
This paper proposes a distributed joint parameter and state variables estimation algorithm for large-scale state-space interconnected systems. In this distributed estimation scheme, each interconnected sub-system is described by a linear discrete-time state space mathematical model. Each sub-system is supposed to be controlled by an intelligent controller that can communicate with its interconnected neighbors and exchange information, such as state variables. The proposed approach comprises two recursive estimation algorithms, a parameter estimation algorithm considering the state space model and a distributed Kalman filter for state variables estimation. It is a fully distributed cooperative approach that allows to reduce complexity and saves computational and communication resources. Theoretical analysis and numerical examples are provided to prove the feasibility and effectiveness of this joint estimation algorithm.  相似文献   

19.
随着微电网信息侧和物理侧的耦合日益紧密,软件密集型控制器和电力电子设备的大规模应用增加了微电网遭受攻击和故障的可能性,从而影响微电网的稳定运行。为此,针对孤岛交流微电网控制通道中潜在的执行器故障和传感器故障,提出了一种基于固定时间一致性算法的分布式容错二次控制策略。首先,建立了同时计及执行器故障和传感器故障的下垂控制模型。其次,分别设计了上层分布式一致性控制算法和下层本地容错控制算法,分析了控制器对未知故障的抑制机理,从理论上证明了所提分布式容错二次控制策略的固定时间收敛特性,并进一步观测了传感器故障信号的波形。最后,算例仿真结果验证了所提控制策略的有效性。  相似文献   

20.
    
The optimal design of a separable two‐dimensional (2D) finite impulse response (FIR) filter is a nonlinear programming problem. In this paper, an iterative alternating optimization technique for optimally designing the separable 2D FIR filter in the mini‐max sense and the least‐square sense is proposed. Implementation of the proposed technique only requires a suitable initial solution. The simulation experiment validates the effectiveness of the proposed technique. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.  相似文献   

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