Nothing Special   »   [go: up one dir, main page]

Taylor et al., 2009 - Google Patents

Detecting mismapping in cross-directional control systems

Taylor et al., 2009

Document ID
16429900351148334027
Author
Taylor A
Duncan S
Publication year
Publication venue
IEEE transactions on control systems technology

External Links

Snippet

Cross-directional (CD) control systems regulate product properties in industrial web processes by manipulating the inputs to arrays of actuators. In many of these processes, the product wanders or undergoes transformations such as stretching that introduce lateral shifts …
Continue reading at ieeexplore.ieee.org (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
    • G05B13/04—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
    • G05B13/048—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 using a predictor
    • 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
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/024—Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
    • 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
    • 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]
    • G05B19/41875—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 quality surveillance of production

Similar Documents

Publication Publication Date Title
US7496413B2 (en) Apparatus and method for coordinating controllers to control a paper machine or other machine
US7459060B2 (en) Reverse bump test for closed-loop identification of CD controller alignment
EP3296823B1 (en) Model-plant mismatch detection with support vector machine for cross-directional process behavior monitoring
EP3296822B1 (en) Model-plant mismatch detection using model parameter data clustering for paper machines or other systems
US8032236B2 (en) Asymetrical process parameter control system and method
CA2647716A1 (en) Fast performance prediction of multivariable model predictive controller for paper machine cross-directional processes
EP3296821B1 (en) Closed-loop model parameter identification techniques for industrial model-based process controllers
US10358771B2 (en) Method of designing model predictive control for cross directional flat sheet manufacturing processes to guarantee spatial robustness and to prevent actuator picketing
US10309059B2 (en) Method of designing model predictive control for cross directional flat sheet manufacturing processes to guarantee temporal robust stability and performance
Taylor et al. Detecting mismapping in cross-directional control systems
Kjaer et al. Identification of cross-directional behaviour in web production: techniques and experience
Wang et al. Adaptive basis weight control in paper machines
Shan et al. Identification of actuator mapping in cross-directional basis weight control of the papermaking process
Wellstead et al. Signal processing and control paradigms for industrial web and sheet manufacturing
Ammar Model identification of a paper machine cross-directional process under model predictive control
Duncan et al. Evaluating the performance of cross-directional control systems
Gheorghe et al. Multivariable CD control with adaptive alignment for a high-production linerboard machine
Kjaer et al. Identification of cross-directional behaviour in web production: techniques and experience
Bakhtin et al. Improvement of Paper Quality Management System by Web Width on the Basis of Intellectual Technologies
Corscadden et al. The use of basis function expansions to analyse the robustness of cross-directional control systems
Zhang et al. Tuning Feedback Controller of Paper Machine for Optimal Process Disturbance Rejection
Mäenpää Robust model predictive control for cross-directional processes
Ohenoja One-and two-dimensional control of paper machine: a literature review
Dumont et al. Pulp and Paper Center and Department of Electrical Engineering University of British Columbia, Vancouver, BC, Canada V6T 1Z4 zyxwvutsrqponmlk
Ferrer et al. Developing Optimal Regulation and Monitoring Strategies to Control a Continuous Petrochemical Process