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Journal of Engineering and Applied Sciences

Year: 2007  |  Volume: 2  |  Issue: 6  |  Page No.: 1027 - 1037

FDI by Parameter Estimation Based on CLFRT

Ferreiro Garcia Ramon and Manuel Haro Casado


Most of non-linear type one and type two control systems suffers from lack of detectability when model based techniques are applied on FDI tasks. This research is centered on a strategy based on Closed Loop Frequency Response Test (CLFRT) to estimate plant parameters which includes massive neural networks based functional approximation procedures. Nominal plant parameters are matched against on-line estimated parameters on a parity space approach. The strategy to carry out this task consists in Developing a fault tolerant data acquisition strategy to achieve a database to be used in neural networks training. Proposing and implementing a methodology to estimate plant parameters by functional approximation based on backpropagation neural networks.