Self-Tuning Fuzzy Logic Controller for a Dual Star Induction Machine
نویسندگان
چکیده
منابع مشابه
Design of Self-Tuning Fuzzy Logic Controller
During the past several years fuzzy control has emerged as one of the most active and fruitful areas of research in the field of control engineering especially, in the realm of industrial processes. Fuzzy control, based on fuzzy logic is a logical system which incorporates human thinking rather than traditional analytical methods. Therefore, this paper aims to explore the utility of this contro...
متن کاملTuning a fuzzy logic controller
In this paper several tuning methods for Sugeno's fuzzy systems wiu be discussed. &t 4he first case the fuzzy controller is identified off-line based on training data. Following this approach, first the structure of the controller is identified by means of a clustering algorithm. A Kohonen se4f-organizing neural network performs this task. TheE the parameters of the fuzzy controlier (ie. member...
متن کاملReliable Self Tuning Fuzzy Logic Controller for Water Bath System
This project is based on the self-tuning fuzzy logic controller, for the design of a temperature control process , the performance of the system should be reliable. The proposed control system combines the advantages of Self Tuning and Fuzzy Logic Control schemes. In order to evaluate the performance of the proposed control system methods, results from simulation of the process are presented. T...
متن کاملA Fuzzy Logic Controller for Synchronous Machine
Fuzzy logic or fuzzy set theory is recently getting increasing emphasis in process control applications. This paper presents an application of fuzzy logic to control the speed of a synchronous machine (SM). Based on the analysis of the SM transient response and fuzzy logic, a fuzzy controller is developed. The fuzzy controller generates the variations of the reference current vector of the SM s...
متن کاملTuning a Fuzzy Logic Controller: An introduction
In this paper several tuning methods for Sugeno's fuzzy systems wiu be discussed. &t 4he first case the fuzzy controller is identified off-line based on training data. Following this approach, first the structure of the controller is identified by means of a clustering algorithm. A Kohonen se4f-organizing neural network performs this task. TheE the parameters of the fuzzy controlier (ie. member...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Electrical Engineering and Technology
سال: 2011
ISSN: 1975-0102
DOI: 10.5370/jeet.2011.6.1.133