Self-learning cross-direction identification, adaptive shrinkage modelling, and MPC supervisory control for paper machines. Production-grade profile control with zero manual tuning.
Correlation-based PRBS identification builds an accurate CD response matrix without operator input.
Polynomial edge-shrinkage estimation keeps actuator-to-databox alignment correct across the sheet.
Single-step MPC flattens the profile and derives its own tuning weights (R/S) from the learned model — no manual Q/R/S tuning.
FFT-based frequency detection anticipates sheet wander and compensates one scan ahead.
Guides, technical references, and presentation materials for operators and process engineers.
Toolbar, status bar, menus, preferences, PRBS workflow, closed-loop control, recording, and reporting.
Read guideDeep technical overview of PRBS identification, the mapping matrix, transport delay, MPC, and edge handling.
Read overviewSlide-by-slide HTML version of the CD Mapping & Control deck for quick reviews and stakeholders.
View slidesPip-installable wheel and source distribution for the automap4 platform, including all console entry points.
Browse wheelsRecorded presentations and walkthroughs.
Narrated walkthrough of the CD Mapping & Control presentation.
Narrated walkthrough of the Automap4 operator guide, presented by Ingrid.
Narrated walkthrough of the Graphic Builder operator manual, presented by Ingrid.
Full written operator guide for the Graphic Builder — view or download for offline reference.
Marketing brochure — visual programming for paper machine CD control: features, connectivity, and deployment at a glance.
Full written operator guide — view or download for offline reference.
Technical overview of PRBS identification, mapping matrix, transport delay, MPC, and edge handling — view or download.
Sample field report generated from a closed-loop control session — mapping heatmap, quality distribution, 2-sigma trend, and wander comparison.
Vremsoft delivers cross-direction control solutions for the pulp and paper industry. Automap4 combines self-learning system identification with model-predictive control to keep sheet profiles flat — automatically, and without manual commissioning.