MONITORING OF A STATIC CONVERTER FED MACHINE USING AVERAGE REFERENCE MODELS

Failure detection in a chopper and its supply is presented. The technique consists in comparing real state variables with the calculated state variables of average models representing flawless model and faulty systems. Realistic constraints such as plant parameter variations and input noise are taken into account.