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Strathprints serves world leading Open Access research by the University of Strathclyde, including research by the Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), where research centres such as the Industrial Biotechnology Innovation Centre (IBioIC), the Cancer Research UK Formulation Unit, SeaBioTech and the Centre for Biophotonics are based.

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Discrete-time polynomial systems approach to combined fault monitoring and control

Grimble, M.J. (2003) Discrete-time polynomial systems approach to combined fault monitoring and control. Optimal Control Applications and Methods, 24 (3). pp. 121-138. ISSN 0143-2087

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Abstract

The combined fault monitoring and control problem is discussed, using an H2 optimization framework. The main aim is to investigate the frequency-domain and pole-zero properties of the combined control and fault estimation compensator. The solution of the LQG stochastic optimal multivariable control and fault estimation problem is obtained using a polynomial matrix systems approach. The combined control and fault estimation problem involves a performance index including the usual regulating error and control weighting terms and also fault estimation error terms. The system model includes input disturbances, reference, coloured noise signals and actuator/sensor fault signals. The proposed numerical algorithm has common polynomial terms, so that the computation of the fault estimates and control law, is not significantly more difficult than the calculation of the control law alone.