Norazila, Jaalam and Ahmed Mohamed, Ahmed Haidar and Noor Lina, Ramli and Nor Laili, Ismail (2011) A neuro-fuzzy approach for stator resistance estimation of induction motor = pendekatan neuro-fuzzy untuk meramal rintangan stator pada motor induksi. Other thesis, Universiti Malaysia Pahang (Contributors, UNSPECIFIED: UNSPECIFIED).
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Abstract
During the operation of induction motor, stator resistance changes incessantly with the temperature of the working machine. This situation may cause an error in rotor resistance estimation of the same magnitude and will produce an error between the actual and estimated motor torque which can leads to motor breakdown in worst cases. Therefore, this project will propose an approach to estimate the changes of induction motor stator resistance using neuro-fuzzy. Then, it will be compared with conventional method like P1 estimator to see the effectiveness. The behaviour of the induction machine will be analyzed when the stator resistance is changed. Based on the changes, a corrective procedure will be applied to ensure the stabilities of the induction motor. Generally, this project can be divided into three main parts which are design of induction motor, design of neuro-fuzzy and PT estimator, and corrective procedure for the induction machine. The Newcastle Drives Simulation Library will be used to design the induction motor model and MATLAB SIMULINK will be used to design the stator current observer. The neuro-fuzzy estimator will be designed based on Sugeno Method Fuzzy Inference System.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RDU (Faculty of Electrical & Electronic Engineering) -- Universiti Malaysia Pahang – 2011 |
| Uncontrolled Keywords: | Neuro-Fuzzy; Stator Resistance; Induction Motor |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Ms. 'Arifah Nadiah Che Zainol Ariff |
| Date Deposited: | 22 Mar 2016 07:53 |
| Last Modified: | 24 Aug 2021 03:54 |
| URI: | http://umpir.ump.edu.my/id/eprint/12115 |
| Download Statistic: | View Download Statistics |
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