Diagnosis and Fault-Tolerant Control by Prof. Dr. Mogens Blanke, Prof. Dr. Michel Kinnaert, Prof.

By Prof. Dr. Mogens Blanke, Prof. Dr. Michel Kinnaert, Prof. Dr.-Ing. Jan Lunze, Prof. Dr. Marcel Staroswiecki (auth.)

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Extra info for Diagnosis and Fault-Tolerant Control

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7) defines the additional volume flow qL out of Tank 1. The "size" of the leakage is given by the parameter CL (d. 1). The different approaches to fault diagnosis presented in the following chapters use this twotank example either with CL as parameter of the fault or like in Eq. 1. The second fault is a blockage of the valve VI2 in the closed position. This fault can be modelled by setting the valve constant CI2 to zero. The example is used for illustrating the following diagnostic and faulttolerant control problems: • Fault detection: Determine whether a fault has occurred.

Y2(t) where version 1 could be the nominal one, version 2 could be used when transducer 2 is faulty, and version 3 would be used when transducer 1 is faulty. Use-Illodes. Not all the services provided by a component are enabled at any time. For that reason, subsets of services are gathered into use-modes, whose evolution is described by an automaton, which shows the possible transitions from one use-mode to another one, and the conditions under which these transitions are fired. For example, a typical controller could be described by three use-modes, namely Off, Initialise, On, whose content (services) and evolution (automaton) are given in the following table: Mode Possible transitions Off To_Initialise, To_On On To_Off, To_Initialise To_Off, To_On Initialise Enabled services Compute_control, Display_seLpoint EnteLseLpoint, Display_seLpoint Building systeIlls froIll cOIllponents.

For example, such an assumption holds true if the faults can be restricted to be a sensor fault. • With a given measurement configuration, not all faults can be distinguished. Diagnosability considerations can be used to determine those faults that can be separately identified. Consistency-based diagnosis concerns the comparison of the measured I/O pair with a plant model. For discrete-event systems this comparison is done in a direct way as described in Chapter 8. For continuous-variable systems the usual way of comparison consists in using the difference between the system and the model output in the way explained below.

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