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학술저널
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전력전자학회 JOURNAL OF POWER ELECTRONICS JOURNAL OF POWER ELECTRONICS Vol.4 No.1
발행연도
2004.1
수록면
1 - 11 (11page)

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A stable adaptive sensorless speed controller for three-level inverter fed induction motor direct torque control (DTC) system using the radial-basis function network (RBFN) is presented in this paper Torque ripple in the DTC system for high power induction motor could he drastically reduced with the foregoing researches of switching voltage selection andtorque ripple reduction algorithms However, speed control performance is still influenced by the inherent uncertainty of the system such as parametric uncertainty, external load disturbances and unmodeled dynamics, and its exact mathematical model is much difficult to be obtained due to their strong nonlinearity. in this paper, the mherent uncertainty is approximated on-line by the RBFN, and an additional robust control tenn is introduced to compensate for the reconstruction error of the RBFN instead of the rich number of rules and additional updated parameters. Control law for stabilizing the system and adaptive laws for updating both of weights in the RBFN and a bounding constant are established so that the whole closed-loop system is stable in the sense of Lyapunov, and the stability proof of the whole control system is presented Computer simulations as well as experimental results are presented to show the validity and effectiveness of the proposed system

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ABSTRACT

1.Introduction

2.Sorless Speed Control for Induction Motor DTC System

3.Stable Adaptive speed-Sensorless Induction Motor DTC System

4.Robust Stable Speed Controller Using the RBFN Observer

5.Simulation and Experimental Results

6.Conclusions

References

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