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【Paper】2011_Distributed fault detection for interconnected second-order systems

發(fā)布時間:2025/4/5 编程问答 25 豆豆
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Shames I, Teixeira A M H, Sandberg H, et al. Distributed fault detection for interconnected second-order systems[J]. Automatica, 2011, 47(12): 2757-2764.

文章目錄

  • 1 Introduction
  • 2 Problem formulation
  • 3 Model-based fault detection preliminaries
  • 4 FDI for networked systems
    • 4.1 UIO for position distributed control
    • 4.2 UIO for position-velocity distributed control
    • 4.3 Faulty node removal
  • 5 Application to practical examples
    • 5.1 FDI in power networks
    • 5.2 FDI in formations of mobile agents
    • 5.3 Complexity of the FDI method
  • 6 Concluding remarks and future directions

SymbolsDescription
vi(t)v_i(t)vi?(t)a scalar known external input
ξi(t),ζi(t)\xi_i(t), \zeta_i(t)ξi?(t),ζi?(t)scalar states
ui(t)u_i(t)ui?(t)control
fξk(t),fζk(t)f_{\xi k}(t), f_{\zeta k}(t)fξk?(t),fζk?(t)fault signals

1 Introduction

2 Problem formulation

ξ˙i=ζi(t)ζ˙i=ui(t)+vi(t)(1)\begin{aligned} \dot{\xi}_i &= \zeta_i(t) \\ \dot{\zeta}_i &= u_i(t) + v_i(t) \\ \end{aligned}\tag{1}ξ˙?i?ζ˙?i??=ζi?(t)=ui?(t)+vi?(t)?(1)

the linear control law
ui(t)=?κiζi(t)+∑j∈Niwij[(ξj(t)?ξi(t))+γ(ζj(t)?ζi(t))](2)u_i(t) = - \kappa_i \zeta_i(t) + \sum_{j \in N_i} w_{ij} [(\xi_j(t)-\xi_i(t)) + \gamma (\zeta_j(t) - \zeta_i(t))] \tag{2}ui?(t)=?κi?ζi?(t)+jNi??wij?[(ξj?(t)?ξi?(t))+γ(ζj?(t)?ζi?(t))](2)

發(fā)生故障時,系統(tǒng)的表述為
ξ˙i=ζi(t)+fξk(t)ζ˙i=ui(t)+vi(t)+fζk(t)\begin{aligned} \dot{\xi}_i &= \zeta_i(t) + f_{\xi k}(t)\\ \dot{\zeta}_i &= u_i(t) + v_i(t) + f_{\zeta k}(t) \\ \end{aligned}ξ˙?i?ζ˙?i??=ζi?(t)+fξk?(t)=ui?(t)+vi?(t)+fζk?(t)?

The closed-loop dynamis of the networked system in the presence of faults can be rewritten as
x˙(t)=Ax(t)+Bv(t)+Bff(t)y(t)=Cx(t)(3)\begin{aligned} \dot{x} (t) &= Ax(t) + B v(t) + B_f f(t) \\ y(t) &= C x(t) \\ \end{aligned}\tag{3}x˙(t)y(t)?=Ax(t)+Bv(t)+Bf?f(t)=Cx(t)?(3)

3 Model-based fault detection preliminaries

Consider the linear fault-free system under the influence of an unknown input d(t)∈Rm?1d(t) \in \R^{m?1}d(t)Rm?1 described by
x˙(t)=Ax(t)+Bv(t)+Ed(t)y(t)=Cx(t)(5)\begin{aligned} \dot{x} (t) &= A x(t) + B v(t) + E d(t) \\ y(t) &= C x(t) \\ \end{aligned}\tag{5}x˙(t)y(t)?=Ax(t)+Bv(t)+Ed(t)=Cx(t)?(5)

The system in presence of faults is given by
x˙(t)=Ax(t)+Bv(t)+Ed(t)+Bff(t)y(t)=Cx(t)(6)\begin{aligned} \dot{x} (t) &= A x(t) + B v(t) + E d(t) +B_f f(t) \\ y(t) &= C x(t) \\ \end{aligned}\tag{6}x˙(t)y(t)?=Ax(t)+Bv(t)+Ed(t)+Bf?f(t)=Cx(t)?(6)

A full-order observer for the fault-free system (5) is described by:
z˙(t)=Fz(t)+TBv(t)+Ky(t)x^(t)=z(t)+Hy(t)(7)\begin{aligned} \dot{z} (t) &= F z(t) + T B v(t) + K y(t) \\ \hat{x}(t) &= z(t) + H y(t) \\ \end{aligned}\tag{7}z˙(t)x^(t)?=Fz(t)+TBv(t)+Ky(t)=z(t)+Hy(t)?(7)

4 FDI for networked systems

4.1 UIO for position distributed control

Consider the networked system introduced in Section 2 with the following control law
miui(t)=?diζi(t)+∑j∈Niwij(ξj(t)?ξi(t))(14)m_i u_i (t) = - d_i \zeta_i(t) + \sum_{j \in N_i} w_{ij} (\xi_j(t) - \xi_i(t)) \tag{14}mi?ui?(t)=?di?ζi?(t)+jNi??wij?(ξj?(t)?ξi?(t))(14)

Note that if the graph is not connected, the networked system (16) can be decomposed into several decoupled subsystems, each corresponding to a connected subset of the network. The conclusion of Theorem 1 then applies to each subsystem.

4.2 UIO for position-velocity distributed control

Now we consider the existence of UIOs for the distributed control law:
ui(t)=∑j∈Niwij[(ξj(t)?ξi(t))+γ(ζj(t)?ζi(t))](20)u_i (t) = \sum_{j \in N_i} w_{ij} [(\xi_j(t) - \xi_i(t)) + \gamma (\zeta_j(t) - \zeta_i(t)) ] \tag{20}ui?(t)=jNi??wij?[(ξj?(t)?ξi?(t))+γ(ζj?(t)?ζi?(t))](20)

4.3 Faulty node removal

5 Application to practical examples

5.1 FDI in power networks

5.2 FDI in formations of mobile agents

5.3 Complexity of the FDI method

6 Concluding remarks and future directions

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