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
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;
Conference_Titel :
Industry Applications Conference, 2000. Conference Record of the 2000 IEEE
Conference_Location :
Rome
Print_ISBN :
0-7803-6401-5
DOI :
10.1109/IAS.2000.882104