This model forms part of a series of training systems developed in collaboration with the Department of Automation and Information Technology at the Harz University of Applied Studies and Research.
This model provides an introduction to fast, digital real-time control by fuzzy methods. Fuzzy methods are particularly suitable for systems which mathematics cannot describe adequately or easily.
The control model employed is a two-dimensional Ball-on-Plate system. This is a coupled multi-variable system. The position of the ball is measured without feedback using a touch panel. As well as the mechanical ball-on-plate system with servomotors and sensors, the model also includes a microcontroller board on which the control program runs in real time. Of particular interest in this model is the facility to control the ball's path. Using a joystick, the path of the ball can also be controlled manually. This allows the efficiency of the control system to be compared with that of a manually controlled system.
Control algorithms are created, simulated and translated into microcontroller code in the extensive developer program.

The well-structured instructional material details the technology used and provides a step-by-step guide through the development processes.

- Introduction to fuzzy methods and microcontroller

  technology
- Mathematical modelling of the multi-variable
   Ball-on-Plate system
- Creating fuzzy strategies
- Implementing fuzzy algorithms on destination

  microcontroller systems
- Implementing path control
- Comparison with manual control
- Parameter studies