Application of fuzzy logic in automated control sytems.

Project Details


The classic way of controlling a process is to make use of linear controllers such as PID, LQG etc. Linear control schemes expect that the process to be controlled can be linearized in its parameters at a given operating point. The used controller must be robust with respect to all nonlinearities and parameter errors of the model. This is usual only true for small deviations around the operating point.

The goal of this research is a comparative study on different control strategies. For this purpose a set-up has been made demonstrating the inverted and non-inverted pendulum. This set-up is largely accepted as benchmark to compare the performance of control strategies. Comparisons will not only be made for linear controllers, but also for typical nonlinear controllers, such as Fuzzy Control, neural nets and sliding-modes.
Effective start/end date1/01/9631/12/97

Flemish discipline codes

  • Mechanical and manufacturing engineering
  • Information and computing sciences
  • Electrical and electronic engineering
  • Health sciences


  • nonlinear process control
  • electricty
  • fuzzy control