Research on Switched Reluctance Motor Drive System for the Electric Forklift Based on DSP and µC/OS

Author

Xia, Wu ; Zhao, De-An ; Hua, Minggong ; Han, Jianzhang

Author_Institution

Sch. of Electr. & Inf., Jiangsu Univ., Zhenjiang, China

fYear

2010

fDate

25-27 June 2010

Firstpage

4132

Lastpage

4135

Abstract

According to the special requirements of electric forklift, a six-phase 12/10 pole switched reluctance motor drive system is proposed based on DSP and μC/OS-II. In this paper, the design details of the controller is described and in order to solve the nonlinear problem of switched reluctance motor, a fuzzy neural network PI control algorithm is used to achieve the motor speed control loop and digital PI algorithm to achieve current loop control . The experimental results prove that the hardware and software design of switched reluctance motor drive system are reasonable, and the proposed dual closed-loop control method is correct and feasible.

Keywords

PI control; angular velocity control; digital control; electric vehicles; fuzzy control; microcontrollers; neurocontrollers; reluctance motor drives; μC/OS-II; DSP; PI control; current loop control; electric forklift; fuzzy neural network; motor speed control loop; switched reluctance motor drive; Digital signal processing; Fuzzy neural networks; Reluctance motors; Rotors; Switches; µC/OS-?; DSP; electric forklift; fuzzy neural network; switched reluctance motor;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Control Engineering (ICECE), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-6880-5

Type

conf

DOI

10.1109/iCECE.2010.1429

Filename

5630276