Title :
Real-time models for induction machine dynamics
Author :
Sureshbabu, N. ; Powell, B.K.
Author_Institution :
Ford Res. Lab., MD, USA
Abstract :
In an earlier work we have shown that a transition matrix based discrete-time model is the most efficient for real-time implementation. We also noted that this model can be further enhanced for real-time performance considerations if the computational complexity is reduced. In this paper we develop a technique that reduces the computational complexity
Keywords :
asynchronous machines; computational complexity; digital simulation; discrete time systems; dynamics; electric machine analysis computing; matrix algebra; real-time systems; computational complexity reduction; induction machine dynamics; real-time implementation; real-time models; real-time performance considerations; transition matrix based discrete-time model; Computational modeling; Computer simulation; Frequency; Hardware; Hybrid electric vehicles; Induction machines; Operating systems; Physics computing; Sampling methods; Vehicle dynamics;
Conference_Titel :
Advanced Intelligent Mechatronics, 1999. Proceedings. 1999 IEEE/ASME International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5038-3
DOI :
10.1109/AIM.1999.803174
