The Application in Speed Sensor-less Based on BP Neural Network Optimized by Genetic Algorithm

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Author(s)

Yi LIU 1,* Guorong LIU 2

1. Department of Information engineering institute, Xiangtan University, Xiangtan, Hunan, China

2. HuNan Institution of Engineering, HuNan Institution of Engineering, Xiangtan, Hunan, China

* Corresponding author.

DOI: https://doi.org/10.5815/ijem.2011.05.01

Received: 16 Jun. 2011 / Revised: 22 Jul. 2011 / Accepted: 1 Sep. 2011 / Published: 5 Oct. 2011

Index Terms

Direct Torque Control, Speed Sensor-less, BP Neural-Network, Genetic Algorithm

Abstract

This paper puts forward a strategy that the sensor-less being optimized by the intelligent algorithm applies in the system of direct torque control. Based on the BP neural network in the identification of DTC speed, it optimizes the BP neural network speed identifier by using generic algorithm. It is proved by the simulation results that the neural network has been greatly improved by the application of intelligent algorithm, and the speed sensor-less based on the intelligent algorithm has better stability properties.

Cite This Paper

Yi LIU, Guorong LIU,"The Application in Speed Sensor-less Based on BP Neural Network Optimized by Genetic Algorithm", IJEM, vol.1, no.5, pp.1-10, 2011. DOI: 10.5815/ijem.2011.05.01

Reference

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