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Simplified rules fuzzy logic speed controller for induction motor drive

Zainudin, Muhammad Faisal (2018) Simplified rules fuzzy logic speed controller for induction motor drive. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Fuzzy Logic Controller (FLC) have been widely used in speed controller due to its superior performance results. Some of the system that have difficulty in modeling mathematically due to its nonlinearity and complexity have been using FLC to solve the problem and it is more suitable. Rule base method that consist of three umber of rule such as 49, 25, and 9 rule has widely use in FLC. However, from the previous research there are more focused on the rules base design and has either 49, 25 and 9 rules to get the maximum potential performance. There are no detail performance compare to the number of rules. By using higher number of rule base will get more accuracy performance result. Thus, this research is to apply the base rule method which is 49, 25 and 9, at induction motor drive. The research will be done using MATLAB/Simulink simulation software to study the result of using different rule base which is 49, 25 and 9 rule towards the performance induction motor drive and analyze the performance result when apply the different of load disturbance. In conclusion, the FLC has successfully implement in control of induction motor drive. The performance will be compare to the characteristic in transient response with various performance that measure from the results such as rise time, overshoot, settling time, speed drop and the recovery time. It will be proven that 49 rules will give the best performance in term of rise time and lower speed drop compare to the 25 and 9 rules.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Automatic control, Fuzzy systems, Fuzzy automata
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Library > Final Year Project > FKE
Depositing User: Sabariah Ismail
Date Deposited: 10 Nov 2020 08:37
Last Modified: 19 Feb 2025 04:25
URI: http://digitalcollection.utem.edu.my/id/eprint/24702

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