International Conference Hoe-Sung Huh, Kyo-Beum Lee, Ick Choy, Gwi-Tae Park, Kyong Lyu, and Tea-Gu Song, “An Improvement of Speed Performances of DTC for Induction Motor with an Uncertainty Observers Using a Universal Approximator,” in Proc. IAS Conf., Oct. 2003, pp. 1976–1981.
2003
본문
The objective of this paper is design of a robust stable speed controller for speed-sensorless induction motor direct torque control
(DTC) systems. Overall control systems are composed of a speed estimator and the proposed uncertainty observer using the Radial
Basis Function Networks(RBFN). The induction motor systems in the real industrial fields, the obtaining of an exact mathematical model
is hardly difficult due to the unmodeled uncertainties such as parametric uncertainties and external load disturbances. In this paper, the
uncertainties are approximated by the RBFN, and the control algorithm is applied to the DTC system. Control laws and adaptive laws
for the bounding constant and weights in the output layer of the RBFN are established so that the whole closed loop system is stable
in the sense of Lyapunov. The proposed control algorithm is relatively simple and requires no restrictive conditions on the design
constants for the stability. Experiment results show the effectiveness and validity of the proposed control algorithm.
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