Title :
Control and diagnosis for AC drives and UPS systems using soft computing
Author :
Dote, Yasuhiko ; Hoft, Richard G.
Author_Institution :
Dept. of Comput. Sci. & Syst. Eng., Muroran Inst. of Technol., Japan
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
Keywords :
chaos; fuzzy control; genetic algorithms; induction motor drives; intelligent control; machine control; motion control; neurocontrollers; nonlinear control systems; power engineering computing; robust control; self-adjusting systems; uninterruptible power supplies; AC drives control; AC drives diagnosis; UPS systems control; UPS systems diagnosis; UPS waveshape improvement; automated design methods; automated tuning methods; chaos computing; fuzzy computing; genetic algorithms; immune network computing; intelligent systems; motion control; neural networks; neuro fuzzy robust control; nonlinear systems; power electronics; self-organising control; self-tuning controllers; soft computing; unmodelled systems; vector controlled induction motor drive; Chaos; Computer networks; Control systems; Fuzzy neural networks; Genetic algorithms; Intelligent networks; Motion control; Neural networks; Power electronics; Uninterruptible power systems;
Conference_Titel :
Power Conversion Conference - Nagaoka 1997., Proceedings of the
Conference_Location :
Nagaoka
Print_ISBN :
0-7803-3823-5
DOI :
10.1109/PCCON.1997.645665
