Apparatus and method using adaptive gain scheduling
First Claim
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1. A self-tuning system for controlling a process having at least one measured parameter comprising:
- a modular parameter estimator for receiving the measured parameter and for calculating an estimated parameter using an estimation algorithm;
a modular PID parameter converter connected to said estimator for applying a porportional plus integral plus derivative algorithm to the estimated parameter to produce a PID control signal;
a PID controller connected to said PID parameter converter for controlling the process in a conventional manner;
a modular IMC parameter converter containing an internal model algorithm and connected to the estimator for applying the internal model algorithm in said IMC parameter converter to the estimated parameter to generate in said IMC parameter converter an internal model control signal;
an IMC controller connected to said IMC converter for receiving the internal model control signal for controlling the process;
a modular user defined parameter converter connected to the estimator for receiving the estimated parameter and for generating an estimated parameter control signal; and
a user defined controller connected to said user defined parameter converter for receiving the user defined control signal to control the process according to a user defined control signal.
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Abstract
A self-tuning system and method for controlling a process based on a measured variable comprises modular parameter estimators, parameter converters and controllers which are used to control the process and receive input from the process. Self-tuning gain scheduling allows the calculated parameters to be updated by a second variable from the process. Regression analysis is used in conjunction with the conventional gain scheduling to more accurately refine the control action. A limiter is also used in conjunction with the regression analysis to avoid an overly high or low correction signal for the controller.
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Citations
1 Claim
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1. A self-tuning system for controlling a process having at least one measured parameter comprising:
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a modular parameter estimator for receiving the measured parameter and for calculating an estimated parameter using an estimation algorithm; a modular PID parameter converter connected to said estimator for applying a porportional plus integral plus derivative algorithm to the estimated parameter to produce a PID control signal; a PID controller connected to said PID parameter converter for controlling the process in a conventional manner; a modular IMC parameter converter containing an internal model algorithm and connected to the estimator for applying the internal model algorithm in said IMC parameter converter to the estimated parameter to generate in said IMC parameter converter an internal model control signal; an IMC controller connected to said IMC converter for receiving the internal model control signal for controlling the process; a modular user defined parameter converter connected to the estimator for receiving the estimated parameter and for generating an estimated parameter control signal; and a user defined controller connected to said user defined parameter converter for receiving the user defined control signal to control the process according to a user defined control signal.
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Specification
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Current AssigneeElsag International BV (ABB Limited)
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Original AssigneeBabcock & Wilcox Company (Babcock International Group PLC)
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InventorsLane, John D., Scheib, Thomas J.
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Primary Examiner(s)MACDONALD, ALLEN R
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Application NumberUS07/313,369Time in Patent Office434 DaysField of Search364/148-165, 318/561, 318/609, 318/610US Class Current700/37CPC Class CodesG05B 13/044 not using a perturbation si...
