Fuzzy logic control of dynamic quadrature booster using reinforcement learning

This paper is concerned with the investigation of a learning fuzzy logic control of dynamic quadrature booster (DQB) to enhance power system stability. A fuzzy logic control strategy is proposed for DQB control and a reinforcement learning technique is employed to optimise the parameters of the fuzzy logic controller according to a given performance index. The parameter optimisation is carried out on-line in real time. Simulation results show a satisfactory learning and control performance provided by this strategy