Optimization Aspects in a Class of Fuzzy Controlled Servosystems

The paper suggests a fuzzy control solution for a class of servo systems. Simplified mathematical models of second-order integral type characterize the controlled plants. The design is done using the linear case results on the basis of the extended symmetrical optimum (ESO) method and Iterative Learning Control and by the transfer of these results to the fuzzy case. The sensitivity analysis of the fuzzy control systems with respect to the parametric variations of controlled plant is performed to enable the design of a class of Mamdani Pi-fuzzy controllers. Digital simulation results and real-time experimental results corresponding to a case study validate the new fuzzy control solution.