Valmet IQ MD Controls course

The attendees are introduced to following high level controls: Oven Dry weight, Paper ash, Headbox ash, White water consistency and  Moisture.

Training type
Scheduled
Start date
End date
Duration
Four training days
Location
Tampere, Finland
Description
The attendees are introduced to following high level controls: Oven Dry weight, Paper ash, Headbox ash, White water consistency and  Moisture. The controls are detailed through the use of theory and a Valmet DNA simulator. Valmet DNA low level loops and PID tuning are also covered.
Objective
This course provides a review of the theory and algorithms of Valmet IQ MD Controls machine direction multivariable. After the course, the participant should be familiar with the Valmet IQ Metso IQ MD Controls product and be able to evaluate the process and the current MD control performance as well as maintain the MD control tuning.
Audience
QCS maintenance personnel
Pre-requisites
Valmet DNA operator skills
Registration information

Enrolment

Valmet's customers can register to the course. Sign up by email: training.automation@valmet.com

If you cancel the course less than 30 days before the start of the training, we will charge 50% of the participation fee. If you cancel the course less than 14 days before the start of the training, we will charge the full participation fee. If you do not show up, we will charge the entire participation fee.

We reserve the right to cancel the course if the minimum number of participants is not met.

Deadline for registration
Nov 18, 2025
Tuition fee
2640 EUR + VAT

Agenda

Day 1: 9:00 – 16:00

Overview to MD Controls

• MD solutions by Valmet Automation

Exercise with the simulator

• MD operator interface

• MD controls general features

Control theory

• 1. and 2. order Process models

• Step response (bump test)

• PID tuning

Day 2: 8:30 – 16:00

Exercise with the simulator:

• PID tuning with lambda method

• DNA LoopAutoTuner

Valmet IQ MD Controls application

• Scope and structure

• Signal names

Exercise with the simulator

• Tuning pictures & parameters

• Maintenance terminal (debugger) and MD controls 

Day 3: 8:30 – 16:00

MPC-algorithm

• Optimization

• Cost function

 Horizons

Process models

• 1 or 2 order dynamics

• Direct models and cross models

Exercise with the simulator

• Defining a model with bump test

Dry Weight control (ODRL)

• Main parameters

• Operation in sheet break

• ODFF feedforward weight

• Multi Stock Control for multi layer machines

Day 4, 8:30 – 15:00

 

Moisture control (PMRL)

• Main parameters

• Model adaptation

Ash controls (TARL & ACHB)

White water cons control (CSWW)

• Main parameters

• Measurement filtering

Coordinated speed change CSC1

• Exercises with the simulator

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