Control and diagnosis for AC drives and UPS systems using soft computing

Abstract

Soft computing was proposed by Dr. L. Zadeh, Director of Berkeley Initiative Soft Computing Center, University of California, Berkeley, USA, in order to solve complicated problems which had not been solved by hard computing with Neumann type computers. It includes neuro (NN), fuzzy computing (FS), chaos computing (CS), genetic algorithms (GA), immune network computing (IN) and others. This paper describes soft computing applied to power electronics and motion control systems which are nonlinear or unmodelled systems. It makes them intelligent systems and gives automated design methods and automated tuning methods by combining the above mentioned soft computing approaches.