RT 122 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 serves as an add-on to the RT 121 model, and is more complex because of its two independent drives.
Fuzzy methods are particularly suitable for systems which mathematics cannot describe adequately or easily. They include multi-variable systems, non-linear systems and time-variant systems. Fuzzy algorithms can offer major advantages as the control strategy is developed, not on the basis of exact mathematical modelling, but on a linguistic description of the process. Additional input variables or conditions can be easily added.
The control model employed is an unstable inverted pendulum system, in which the upright position is dictated by two independent propeller drives. As well as the mechanical inverted pendulum system with servomotors and sensors, the model also includes a microcontroller board on which the control program runs in real time.

Control algorithms are created, simulated and translated into microcontroller code in the user-friendly developer program.
The well-structured instructional material outlines 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 non-linear inverted

  pendulum system
- Creating fuzzy strategies
- Implementing fuzzy algorithms on destination

  microcontroller systems
- Adapting the algorithms to non-linear control

  systems
- Investigation of real-time capability
- Parameter studies