Smart torque control for overloaded motor using artificial intelligence approach

• Main Author: Mohamed, Hazizul
• Format: Thesis
• Language: English; English; English
• Published: 2013
• Subjects: TK Electrical engineering. Electronics Nuclear engineering; TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers
• Online Access: http://eprints.uthm.edu.my/1915/1/24p%20HAZIZUL%20MOHAMED.pdf; http://eprints.uthm.edu.my/1915/2/HAZIZUL%20MOHAMED%20COPYRIGHT%20DECLARATION.pdf; http://eprints.uthm.edu.my/1915/3/HAZIZUL%20MOHAMED%20WATERMARK.pdf; http://eprints.uthm.edu.my/1915/

This project report presents a methodology for implementation of a rule-based fuzzy logic controller applied to an induction motor torque control. The designed Fuzzy Logic Controller’s performance is weighed against with that of a PI controller. The pros of the Fuzzy Logic Controllers (FLCs) o...