By Thomas Steffen
Reconfiguration, an technique for fault-tolerant regulate, includes altering the regulate constitution according to the fault. This monograph extends this concept to actuator faults and reports intimately the so-called digital actuator strategy. "Control Reconfiguration of Dynamical platforms" additionally introduces structural research as a device for reconfiguration. simply because a fault alterations the constitution of the method, the reconfiguration answer is sought on a structural point. Novel algorithms are awarded to check for reconfigurability and to discover a reconfiguration answer. A MATLAB toolbox is provided, which includes the most algorithms and examples. The booklet addresses complex engineering scholars, builders and researchers that experience a particular curiosity up to the mark reconfiguration.
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Extra resources for Control Reconfiguration of Dynamical Systems: Linear Approaches and Structural Tests
Faults which do aﬀect the equilibrium will be treated in Chap. 16. 5 Analysis A simulation run is performed to show the response of the system. 04 m below nominal. 05 m at t = 5 s, and it is decreased to the nominal value again at t = 10 s. 1 (at t = 15 s). The result for the linearised nominal system is shown in Fig. 3. The plots show the relative system values, relative to the equilibrium used for linearisation. Right tank Left tank Plant input Controller output For comparison, the response of the faulty system without reconﬁguration is shown.
5 also apply to the linear reconﬁguration problem. By making use of linear system properties, it is possible to derive slightly simpler formulations and to relate the goals to the relevant part of the system. The reconﬁgured control loop can be interpreted as having two control loops: the plant side loop and the controller side loop (see Fig. 5). 5. The reconﬁgured control loop 46 5 Linear Reconﬁguration Problem system into two parts connected by the reconﬁguration block: the plant view and the controller view.
Plant and controller are connected via the measured output y and the control input u. The behaviour of the plant is deﬁned by a state-space model with two inputs u and d and two outputs y and z. 1d) is deﬁned with the vectors plant state x ∈ Rnx initial state x0 ∈ Rnx control input u ∈ Rnu measured output y ∈ Rny disturbance input d ∈ Rnd external output z ∈ Rnz and the system functions f : Rnx × Rnu × Rnd → Rnx g : Rnx → Rny h : Rnx → Rnz of the corresponding dimensions. The function f describes the dynamics of the model, while g and h are static output functions.