Title :
Convergence improvement of efficiency-optimization control of induction motor drives
Author :
Ta, Cao-Minh ; Hori, Yoichi
Author_Institution :
Electr. Eng. Dept., Univ. of Tokyo, Japan
Abstract :
This paper proposes a novel algorithm for the efficiency-optimization control of induction motor (IM) drives. The algorithm uses the "golden section technique" in the process of searching for 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 insensitive to motor parameter variations. 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 vehicle applications
Keywords :
control system analysis computing; control system synthesis; electric machine analysis computing; induction motor drives; machine control; machine testing; machine theory; optimal control; rotors; search problems; control design; control simulation; convergence improvement; efficiency optimization control; electric vehicle applications; golden section technique; induction motor drives; motor parameter variations insensitivity; rotor flux current reference; search algorithm; Convergence; Electric motors; Helium; Induction generators; Induction motor drives; Induction motors; Industry Applications Society; Power supplies; Rotors; Torque;
Journal_Title :
Industry Applications, IEEE Transactions on