DocumentCode
2600954
Title
Convergence improvement of efficiency-optimization control of induction motor drives
Author
Cao, M.T. ; Hori, Yoichi
Author_Institution
Dept. of Electr. Eng., Tokyo Univ., Japan
Volume
3
fYear
2000
fDate
2000
Firstpage
1662
Abstract
This paper proposes a novel algorithm for efficiency optimization control of induction motor (IM) drives. The algorithm uses the “golden section technique” in the process searching the optimal value of rotor flux current reference, for which the electrical input power of the system is minimal. The search algorithm is very fast and does not require a priori the number of functional evaluations. In addition, it does not require the knowledge of speed and torque In the searching process, and is insensible to motor parameter variations. The proposed scheme has been implemented on a laboratory experimental 2.2 kW IM drive using a 32-bit floating-point DSP (TMS320C32) board. Simulation and experimental results confirm the validity of the proposed method, which can be seen as a promising control technique that makes IM suitable for electric vehicles (EV) applications
Keywords
convergence; digital signal processing chips; electric vehicles; induction motor drives; machine control; magnetic flux; optimal control; rotors; 2.2 kW; 32-bit floating-point DSP board; algorithm; efficiency-optimization control; electric vehicles; electrical input power; golden section technique; induction motor drives; rotor flux current reference; Convergence; Electric motors; Induction generators; Induction machines; Induction motor drives; Induction motors; Power supplies; Rotors; Stators; Torque;
fLanguage
English
Publisher
ieee
Conference_Titel
Industry Applications Conference, 2000. Conference Record of the 2000 IEEE
Conference_Location
Rome
ISSN
0197-2618
Print_ISBN
0-7803-6401-5
Type
conf
DOI
10.1109/IAS.2000.882104
Filename
882104
Link To Document