Control-loop auto-tuner with nonlinear tuning rules estimators

Details Control-loop auto-tuner with nonlinear tuning rules estimators Control-loop auto-tuner with nonlinear tuning rules estimators

2005-01-25

2005-01-25

Knight, Anthony (Department: 2121)

Data processing: artificial intelligence

Neural network

Learning task

C706S014000, C706S002000, C700S050000

Reexamination Certificate

active

06847954

ABSTRACT:
A system for tuning a process control loop includes a tuner module for receiving an error signal representative of the difference between a set point and a process variable, the module generating a first process control signal for controlling the process. The system further includes a controller module for receiving the error signal and a parameter signal from a nonlinear module to generate a second process control signal for controlling the process, wherein the nonlinear module applies a nonlinear procedure to generate the parameter signal. The system further includes a switching means coupled to the tuner module and the controller module to select the appropriate process control signal for controlling the process. The system provided uses nonlinear techniques in the nonlinear module to approximate the desired controller tuning parameters. The nonlinear techniques include neural network tuning, fuzzy logic tuning and nonlinear functions, including sigmoid tuning. A system also provides that the nonlinear module use nonlinear techniques to approximate the desired process model parameters. According to an embodiment of the present invention, the nonlinear module includes a process model identification module and a controller tuning module that provides controller parameters and model identification parameters using neural networks, fuzzy logic and nonlinear functions, including sigmoid tuning.

REFERENCES:
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Willy K. Wojsznis et al; Neural Network Assisted Control Loop Tuner; IEEE; 0-7803-5446-X; 427-431.*
Notice of the Reason of Rejection issued in JP 2000-252805 application by the Japanese Patent Office transmitted to applicants' agent Mar. 18, 2003.

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