Rigopoulos et al., 2003 - Google Patents
Reduced order cross-directional controller design for sheet forming processesRigopoulos et al., 2003
- Document ID
- 8047168105523487581
- Author
- Rigopoulos A
- Arkun Y
- Publication year
- Publication venue
- IEEE transactions on control systems technology
External Links
Snippet
This paper presents a novel control strategy that efficiently addresses the issue of the large number of cross machine direction actuators with which sheet-forming processes are equipped. The approach relies on using the Karhunen-Loeve expansion (KLE) to model the …
- 238000007652 sheet-forming process 0 title abstract description 5
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
- G05B13/042—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
- 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
- G05B13/0205—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
- G05B13/024—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system 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
- 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
- G05B13/0205—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
- G05B13/021—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system in which a variable 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
- 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
- G05B13/0275—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 fuzzy logic 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
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
-
- 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
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP1941328B1 (en) | Automated tuning of large-scale multivariable model predictive controllers for spatially-distributed processes | |
| CA2647716C (en) | Fast performance prediction of multivariable model predictive controller for paper machine cross-directional processes | |
| EP2013668B1 (en) | Apparatus and method for coordinating controllers to control a paper machine or other machine | |
| Euzébio et al. | Decentralized PID controller tuning based on nonlinear optimization to minimize the disturbance effects in coupled loops | |
| VanAntwerp et al. | Fast model predictive control of sheet and film processes | |
| Rigopoulos et al. | Reduced order cross-directional controller design for sheet forming processes | |
| Harinath et al. | Control and optimization strategies for thermo-mechanical pulping processes: Nonlinear model predictive control | |
| Arkun et al. | A novel approach to full CD profile control of sheet-forming processes using adaptive PCA and reduced-order IMC design | |
| Pedersen et al. | Multivariable controller design for a hot rolling mill | |
| US10890882B2 (en) | Method and apparatus for designing model-based control having spatial robustness for multiple array cross-direction (CD) web manufacturing or processing systems or other systems | |
| Chu et al. | Model predictive control and optimization for papermaking processes | |
| Fan et al. | Automated tuning of large-scale multivariable model predictive controllers for spatially-distributed processes | |
| Fan et al. | Approximate steady-state performance prediction of large-scale constrained model predictive control systems | |
| Rigopoulos et al. | Principal components analysis in estimation and control of paper machines | |
| Corscadden et al. | Multivariable disturbance modelling for web processes | |
| Gorinevsky et al. | Performance-optimized applied identification of separable distributed-parameter processes | |
| Mäenpää | Robust model predictive control for cross-directional processes | |
| CA3055430C (en) | Method and apparatus for designing model-based control having temporally robust stability and performance for multiple-array cross-direction (cd) web manufacturing or processing systems or other systems | |
| CA3055434C (en) | Method and apparatus for designing model-based control having spatial robustness for multiple-array cross-direction (cd) web manufacturing or processing systems or other systems | |
| Zhang et al. | Tuning Feedback Controller of Paper Machine for Optimal Process Disturbance Rejection | |
| Belwal et al. | Single Variable and Multivariable Control of Various Parameters in a Paper Mill–A Review | |
| Takami et al. | A novel investigation on cold rolling control system to optimize of control design | |
| Keyes et al. | Control of paper basis weight by expert SQC/SPC algorithm using distributed controls | |
| Ohenoja et al. | Multiple property cross direction control of Paper Machines | |
| Thake | Design of filter-based controllers for cross-direction control on paper machines |