Comparison of Fuzzy Control Rules Using MATLAB Toolbox and Simulink for DC Induction Motor-Speed Control

Author

Aras, Mohd Shahrieel Mohd ; Salim, Syed Najib Bin Syed ; Hoo, Eric Chee Sai ; Razak, Intan Azmira binti Wan Abd ; Hendra Bin Hairi, M.

Author_Institution

Dept. of Mechatron., UTeM, Ayer Keroh, Malaysia

fYear

2009

fDate

4-7 Dec. 2009

Firstpage

711

Lastpage

715

Abstract

This paper presents a fuzzy logic control for a speed control of DC induction motor. The simulation developed by using Fuzzy MATLAB Toolbox and SIMULINK. The fuzzy logic controller is also introduced to the system for keeping the motor speed to be constant when the load varies. Because of the low maintenance and robustness induction motors have many applications in the industries. The speed control of induction motor is more important to achieve maximum torque and efficiency. The result of the 3Ã—3 matrix fuzzy control rules and 5Ã—5 matrix fuzzy control rules of the theta and speed will do comparison in this paper. Observation the effects of the fuzzy control rules on the performance of the DC-induction motor-speed control.

Keywords

DC motors; control engineering computing; fuzzy control; induction motors; mathematics computing; velocity control; DC induction motor-speed control; MATLAB toolbox; Simulink; fuzzy logic control rules; matrix fuzzy control rules; Curve fitting; Data mining; Fuzzy control; Image segmentation; Information science; Iterative algorithms; MATLAB; Pattern recognition; Phase detection; Shape; DC induction motor; fuzzy logic control; speed control;

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing and Pattern Recognition, 2009. SOCPAR '09. International Conference of

Conference_Location

Malacca

Print_ISBN

978-1-4244-5330-6

Electronic_ISBN

978-0-7695-3879-2

Type

conf

DOI

10.1109/SoCPaR.2009.143

Filename

5370963