View Item 

Fuzzy Logic Control of an Induction Machine as a Brake

Access Status
Fulltext not available
Authors
Hosseinzadeh, N.
Seyoum, D.
Wolfs, Peter
Date
2006
Type
Conference Paper

Metadata
Show full item record
Citation
Hosseinzadeh, N. and Seyoum, D. and Wolfs, P. 2006. Fuzzy Logic Control of an Induction Machine as a Brake, in 1st International ICSC Symposium Artificial Intelligence in Energy Systems and Power (AIESP 06), pp. 31-36. Maderia, Portugal: ICSC Interdisciplinary Research.
Source Title
Artificial Intelligence in Energy Systems and Power. International ICSC Symposium. 1st 2006. (AIESP 06)
Source Conference
Artificial Intelligence in Energy Systems and Power. International ICSC Symposium. 1st 2006. (AIESP 06) (Abstract book and CD-ROM)
ISBN
Faculty
Department of Electrical and Computer Engineering
School of Engineering
Faculty of Science and Engineering
URI
Collection
Abstract

Fuzzy logic systems (FLS) have been designed to control a self-excited induction generator (SEIG), which is used as a brake. This electrical brake has been designed for the sugar cane industry in Queensland, Australia, which uses brake vans coupled to the end of cane trains to produce a given braking torque. The brake would be suitable for similar applications of electrical brakes in electrically driven machines such as electrical vehicles. This project was established to investigate electrical braking as an alternative to existing mechanical systems. Three fuzzy logic controllers have been designed to control the output retarding torque produced by an induction machine. One of these controllers adjusts the value of a shunt capacitance to maintain the excitation required for the generating operation. The other two adjust the duty cycle of a PWM converter, which drives the load of the induction machine. The duty cycle is adjusted in such a way to keep the retarding torque, produced by the machine, fixed at a given value.