Course

Control systems

Understand control systems and how to apply them in practice

Learn how a control system works and how to apply it in practice. In this course you will learn how to design and choose control system components (actuators, sensors, electronics, PID algorithm, feedforward and software). You learn how to choose the components in such a way that the whole system functions optimally.

Control systems usually are the basis for automation. The PID algorithm is the most commonly used tool. But how do you choose the components of the control system in such a way that everything works properly? This question is not easy to answer, and if the components are chosen incorrectly, it has extremely unpleasant consequences. In practice, the automated system often appears to function below the original expectation. In the most extreme case, the automated system will not function at all. In this course you will learn how to answer this question in a systematic way.

Control system design

During this course you will learn, in a hands-on manner:

  • choosing the components in a control system
  • understanding the properties of open loop and closed loop
  • understanding and tuning the PID algorithm
  • understanding the control system in the frequency domain
  • how to apply advanced concepts, gain scheduling, filters, feedforward, master-slave, split-range and override control
     

During the course there are exercises on a test setup with PLC/Arduino and on simulation models. In addition, you can bring data from your own process and/or system to be controlled so that you can apply the above theory during the course to your own professional situation.

Intended for

The course is targeting people that wish to design a control system for any application, including motion systems, process, power systems, drones, wind turbines. It targets, among others, the following people:

  • embedded engineers
  • process engineers
  • systems engineers
  • PLC Programmers (e.g. Siemens, Allen Bradley, Bachmann, Phoenix)
  • DCS Programmers (e.g. DeltaV, Siemens, Yokogawa)

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  • Information
    Trainer: Dhr. Dr.ir. J. Schuurmans PhD (DotX Control Solutions B.V.)
    Course data: October 10, 17, 24, 31 - 2022
    Day format: 9:00-17:00
    Location: Delft
    Price: € 2,200.00 ex. vat
    Language
    The program will be taught in English.
  • Program

    Day 1 - Choosing the right measurement and control system

    During this day you learn how to approach controlling a system in a structured way. The details of the control solution are not yet discussed.

    • Definitions / concepts
    • Choosing sensors, actuators and controllers
    • The Relative Gain Array
    • Exercises in setting up a control structure

    Day 2 - Basic control system

    During day 2 you learn how a PID controller works. In addition, you learn how to obtain a model of the system to be controlled. That model is needed for control design.

    • PID control (how does it look like, and how does it work)
    • what is the effect of the P, I and D gains?
    • How to obtain a control oriented model for control design
       

    Day 3 - Control system’s analysis and tuning

    During day 3, we first continue the subject ‘control oriented model’, and how to obtain it. Then, we apply the model for PID tuning.

    • Physical modeling
    • Model linearization
    • Laplace transformation
    • Model identification
    • Analysis in frequency domain
    • Exercises with PID tuning on test setup
       

    Day 4 - Gain scheduling and feed forward

    On day 4, we learn how to extend the basic control system such that it functions optimally in practice. We apply the theory to the test setup , where you extend the basis control system code with feedforward and test it.

    Subjects of day 4:

    • Filters and their application
    • Tuning filters and PID
    • Gain scheduling
    • Feedforward
    • Decoupling
    • Override control
    • Split range control
    • Master-slave control
    • Exercises
  • Reviews
    This course is assessed with a 9.0
    “A good introduction on control technology.”
    Roland Voigt (Air Liquide Industrie BV)
    “A good combination of theory and practice. The ability to analyze your "own" process data with the PID tuner and test new settings in practice contributes to understanding the theory and discovering the possibilities of a PID tuner.”
    Koen Weijers (Nobial Industrial Chemicals BV)
    “Many new useful insights.”
    participant of Air Liquide Industrie BV
    “Very informative and useful, lots of fundamental knowledge about pid.”
    participant of Nobian Industrial Chemicals BV