LOW COST FUZZY CONTROLLED SERVO SYSTEMS IN MECHATRONIC SYSTEMS

The paper proposes original low cost fuzzy control solutions for controlling servo systems in mechatronic systems. In this situation the controlled plants can be characterized well by simplified mathematical models of second-order integral type. The development is done by using the linear case results on the basis of the Extended Symmetrical Optimum (ESO) method and of Iterative Feedback Tuning (IFT) techniques, and by the transfer of these results to the fuzzy case. There are proposed two fuzzy control system structures employing a basic PI-fuzzy controller. Real-time experimental results corresponding to a nonlinear servo system validate the proposed fuzzy control solutions.