Compound fuzzy neural control with application to hydro-turbine governing system

Abstract

The hydro-turbine governing system is a nonlinear, nonminimum phase, time-variant system. To improve the performance of the control system, it is necessary to find a good algorithm. In this paper, the compound fuzzy neural control, which combines the advantages of fuzzy control and neural control, is introduced. The simulation and analysis show that the proposed method is effective and better than the conventional PID control system.