AN EFFICIENT FUZZY CONTROLLED SYSTEM FOR SUPERCONDUCTING MAGNETIC ENERGY-STORAGE UNIT

Superconducting magnetic energy storage (SMES) controllers must be cap able of providing appropriate stabilizing signals to the power system over a broad range of operating conditions and disturbances. Tradition al SMES controllers rely greatly on robust linear design methods. Rece ntly, control methods using fuzzy logic have shown promising results. These fuzzy logic controllers (FLCs) are based on empirical rules. In this paper a systematic approach for FLC design is proposed. The membe rship functions of input-output variables are generated on-line, appli cable to any type of disturbance. The performance of the proposed cont rol is compared with an eigenvalue based traditional PI controller, an d simulation results are presented and discussed. (C) 1998 Elsevier Sc ience Ltd.