[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Wertz et al., 1987 - Google Patents

Application of Clarke-Gawthrop type controllers for the bottom temperature of a glass furnace

Wertz et al., 1987

Document ID
14622447545764003643
Author
Wertz V
Demeuse P
Publication year
Publication venue
Automatica

External Links

Snippet

The control of the bottom temperature of glass furnaces is an important problem and advanced control methods are certainly justified from an economical point of view. Both disturbance rejection and compensation of load changes must be possible. In this paper, a …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B11/00—Automatic controllers
    • G05B11/01—Automatic controllers electric
    • G05B11/36—Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by the network communication
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B11/00—Automatic controllers
    • G05B11/01—Automatic controllers electric
    • G05B11/32—Automatic controllers electric with inputs from more than one sensing element; with outputs to more than one correcting element
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00—Systems involving the use of models or simulators of said systems
    • G05B17/02—Systems involving the use of models or simulators of said systems electric

Similar Documents

Publication Publication Date Title
US7047089B2 (en) Kiln thermal and combustion control
US7418301B2 (en) Method and apparatus for approximating gains in dynamic and steady-state processes for prediction, control, and optimization
US7149590B2 (en) Kiln control and upset recovery using a model predictive control in series with forward chaining
US20030028265A1 (en) Kiln/cooler control and upset recovery using a combination of model predictive control and expert systems
US5272621A (en) Method and apparatus using fuzzy logic for controlling a process having dead time
CN110824908A (en) A self-adjusting fuzzy Smith-PID temperature control system and method
EP0159103A2 (en) Process control apparatus
CN101957598A (en) Gray model-free control method for large time lag system
Xakimovich et al. Mathematical modeling of transient processes of the automatic control system of water level in the steam generator
Wang et al. A hybrid approach for supervisory control of furnace temperature
Wertz et al. Application of Clarke-Gawthrop type controllers for the bottom temperature of a glass furnace
Haber et al. Identification and adaptive control of a glass furnace
CN100412462C (en) Comprehensive control method for heating furnace outlet temperature and device thereof
CN115198047B (en) Hot blast stove combustion monitoring system and method based on big data analysis
Virk et al. The development of adaptive control techniques for BEMS
Wertz et al. Adaptive control of the temperature of a glass furnace
Martin et al. Next generation controllers for kiln/cooler and mill applications based on model predictive control and neural networks
CN103064284B (en) Apply model predictive controller and method that reverse difference suppresses not measurable disturbance
Abdelrahman et al. Integration of multiple sensor fusion in controller design
Nishikawa et al. A method for auto-tuning of PID control parameters
Wertz Application of adaptive predictive control for the bottom temperature of a glass furnace
Havlena et al. Application of MPC to advanced combustion control
Bélanger Adaptive control in the process industries
JP2912086B2 (en) Blast furnace control method
Zhang et al. Identification and control of a large kinescope glass furnace