Study on the Intelligent Controller of DTC System at Low Speed

Wei Ping Cui; Yong Liu; Xi Long Qu

doi:10.4028/www.scientific.net/AMM.34-35.311

Paper Titles

Investigation of the Tribological Properties of Si₃N₄ Ceramic Pair Lubricated by Emulsion with Different Functional Group
p.292

A Peak Identification Method of Vibration Signal on Diesel Engine Cylinder Head in the Absence of TDC Signal
p.296

Misfire Diagnosis of Diesel Engine Based on Short-Time Vibration Characters
p.301

The FNN Quilting Process Deformation Prediction Model
p.306

Study on the Intelligent Controller of DTC System at Low Speed
p.311

Evolutionary Optimization on Turning Linkage of Automobile in Simulated Annealing
p.317

Design and Experiment Research of a Non-Contact Optical Fiber F-P Ultrasound Sensor for Detecting Surface Defects
p.322

Carbonation Test Study on Low Calcium Fly Ash Concrete
p.327

Rolling Element Bearing Condition Monitoring and Diagnosis
p.332

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 34-35Study on the Intelligent Controller of DTC System...

Study on the Intelligent Controller of DTC System at Low Speed

Abstract:

This paper presents the way of how to reduce the torque and flux linkage ripples, and having better dynamic and static state performance. A new type of neural network resistance observer is developed, on basis of BP neural network, to measure the real time stator resistance of induction motor. Another improved method using fuzzy and adaptive principle can track the change of torque by regulating the duty ratio of the voltage space vector.

You might also be interested in these eBooks

Mechanical Engineering and Green Manufacturing

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 34-35)

Pages:

311-315

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.34-35.311

Citation:

Cite this paper

Online since:

October 2010

Authors:

Wei Ping Cui, Yong Liu, Xi Long Qu

Keywords:

Adaptive Principle, Digital Signal Processor (DSP), DTC, Fuzzy Principle, Neural Network (NN), Torque Ripple

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Li Su. Direct Torque Control of Induction Motors. China: Mechanical industry publishing company. (1994).

Google Scholar

[2] Isao Takahashi, Toshihiko Noguchi. A new Quick-response and High-efficiency Control Strategy of an Induction Motor. IEEE Transactions on Industry Applications. 22 (5): 820-827, (1986).

DOI: 10.1109/tia.1986.4504799

Google Scholar

[3] Xiao yang, Zhang Tianping, Tang Hongru. Induction Motor Drive with Direct Torque Control Based on Adaptive Fuzzy Control. 2th WCICA. 2002. 2991~2995.

DOI: 10.1109/wcica.2002.1020076

Google Scholar

[4] Hongwen WANG, Gang GE, Nan TAN. AC Induction Motor Direct Torque Control System with Fuzzy Controller. Second ICMLC 2003. 800~802.

DOI: 10.1109/icmlc.2003.1259587

Google Scholar