Controller with neural network for estimating gas turbine intern

Details Controller with neural network for estimating gas turbine intern Controller with neural network for estimating gas turbine intern

1996-06-11

1999-01-12

Casaregola, Louis J.

Power plants

Combustion products used as motive fluid

Combined with regulation of power output feature

60 3924, 36443102, F02C 900

Patent

active

058573216

ABSTRACT:
A gas turbine control system includes a controller that is coupled to actuator systems that govern operation of the gas turbine. The controller includes a processor for generating respective actuator control signals in correspondence with a plurality of turbine operating condition signals; the controller includes at least one neural network estimator that is trained to generate an estimated turbine operating condition signal. The neural network estimator typically has one or more hidden neuron layers that are coupled together in a feedforward structure, a recurrent neural network architecture. The estimated turbine operating condition signal generated by the neural network estimator typically, but not necessarily, represents a turbine internal cycle operating parameter for which the turbine has no corresponding operating parameter sensor.

REFERENCES:
patent: 5309379 (1994-05-01), Rawlings et al.
patent: 5386689 (1995-02-01), Bozich et al.
patent: 5434951 (1995-07-01), Kuwata et al.
patent: 5479358 (1995-12-01), Shimoda et al.
Paper presented at the International Gas Turbine & Aeroengine Congress & Exhibition in Birmingham, UK on Jun. 12, 1996 entitled, "Estimating Gas Turbine Internal Cycle Parameters Using a Neural Network," Nicolas W. Chbat et al.
Paper entitled, "Learning Representations by Back-Propagating Errors," David E. Rumelhart et al., Nature vol. 323, Oct. 9, 1986, pp. 533-536.
Paper entitled, "An Integrated Robust/Neural Controller With Gas Turbine Applications,"Q. Song et al., Proc. 1994 IEEE Conf. Control Applications, Glasgow, UK, pp. 411-415.
M. Sakawa et al., "An Application of Neuro-like Fuzzy Method to Gas Turine No.sub.x Concentration Prediction Problem," Proc. 1993 International Joint Conference on Neural Networks, Nagoya, Japan, pp. 2913-2916.

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