Induction Motor Direct Torque Control Based on Multiple Neural Networks Optimized by Genetic Algorithm

Gan Zou; Tao Li; Ren Xin Xiao

doi:10.4028/www.scientific.net/AMR.482-484.1985

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 482-484Induction Motor Direct Torque Control Based on...

Induction Motor Direct Torque Control Based on Multiple Neural Networks Optimized by Genetic Algorithm

Abstract:

Conventional direct torque control(DTC) of induction motor has the problem of large torque ripple.In addition,the speed sensor has its deficiency.A novel DTC system based on multiple neural networks optimized by Genetic Algorithm is proposed and the structures of the proposed system are designed.Genetic algorithm was used to optimize the initial weights and thresholds of the neural networks,All parameters of the neural networks were obtained by offline training.A simulation model of induction motor DTC system was developed in Matlab／Simulink,the simulation results show the feasibility and effectiveness of the scheme

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Periodical:

Advanced Materials Research (Volumes 482-484)

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1985-1989

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https://doi.org/10.4028/www.scientific.net/AMR.482-484.1985

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Online since:

February 2012

Authors:

Gan Zou, Tao Li, Ren Xin Xiao

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Direct Torque Control (DTC), Genetic Algorithm (GA), Induction Motor (IM), Multiple Neural Networks

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References

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