Speed Estimation of Sensorless Vector Control System Based on Single Neuron PI Controller

Author

Zhu, Xiaolin ; Shen, Anwen

Author_Institution

Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan

Volume

2

fYear

0

fDate

0-0 0

Firstpage

8251

Lastpage

8255

Abstract

A novel adaptive speed estimation method of an induction motor is presented in this paper. This speed-sensorless vector control system is based on a flux observer and a single neuron PI controller (SNPIC). The flux observer is used to provide q-axis rotor flux for rotor speed estimation. The SNPIC is used for the realization of speed estimation instead of conventional PI controller utilizing q-axis rotor flux converging on zero. The designed method has the advantages of simple structure and good robustness. The simulation results show that the proposed scheme has good performance at either variable-speed operation or load variation and low sensitivity to load disturbances compared with conventional PI control scheme

Keywords

PI control; induction motors; machine vector control; neurocontrollers; observers; rotors; adaptive speed estimation; flux observer; induction motor; q-axis rotor flux; rotor speed estimation; single neuron PI controller; speed-sensorless vector control system; Control systems; Design methodology; Induction motors; Load management; Machine vector control; Neurons; Pi control; Robustness; Rotors; Sensorless control; Induction motor; Single neuron PI control; Speed estimation; Speed-sensorless vector control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713583

Filename

1713583