TRAINING

What is the training about?

Modern (and old) machines continually need to be 'in good shape' to operate optimally. Control system play an essential role in this. In this hands-on course, you learn how to design control systems, and tune PID loops. Whenever possible, we combine the training with hands-on tuning of PID loops in your own work environment. Our training courses come with a 1 year license for the PID Tuner software.

The price of the training (module I) is the same as the PID Tuner license for 1 year (860 EUR).

Our course modules

Our course has two modules. Each module takes approximately 4 hours in total, and is scheduled, normally for one day. So, for instance, module I is on Monday, and module 2 on Tuesday.

• Module 1: Classical control gives you a training how the PID controller works, what its parameters mean and how you should tune them. The participants will do exercises, that may be one of their own PID loops.
• Module 2: Advanced Control teaches advanced control solutions, like feed forward, override control, master-slave, and split range. You learn how to tune these.

Module 1: PID tuning (4 hours approx.)

In Module 1 the participants will learn how to tune a PID controller, and how to deal with issues you will encounter in practice which they don’t teach you in the text books. The participants will learn to identify badly tuned loops, and make sure they are properly tuned.

If you choose for the in-house training, all examples can/will be based on loops you have in your own factory. Together with the participants we show how to apply the learned contents in practice.

Course Contents

1. The PID Controller Scheme
2. Tuning of the PID Controller
3. Exercises and examples from practice

Module 2: Advanced Control (4 hours approx.)

In Module 2 the participants will learn how to use more advanced control options, like feed forward, override control, master-slave, and split range. You learn how to tune these.

Course Contents

1. Models and their use in control design
2. Filters and their application
3. Gain Scheduling
4. Feedforward and self-learning feedforward
5. Decoupling
6. Override and Split-Range
7. Master-Slave Control