A Fuzzy Expert System for Predicting the Performance of Switched Reluctance Motor
محل انتشار: ماهنامه بین المللی مهندسی، دوره: 14، شماره: 3
سال انتشار: 1380
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 118
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شناسه ملی سند علمی:
JR_IJE-14-3_006
تاریخ نمایه سازی: 19 اسفند 1400
چکیده مقاله:
In this paper a fuzzy expert system for predicting the performance of a switched reluctance motor has been developed. The design vector consists of design parameters, and output performance variables are efficiency and torque ripple. An accurate analysis program based on Improved Magnetic Equivalent Circuit (IMEC) method has been used to generate the input-output data. These input-output data is used to produce the initial fuzzy rules for predicting the performance of Switched Reluctance Motor (SRM). The initial set of fuzzy rules with triangular membership functions has been devised using a table look-up scheme. The initial fuzzy rules have been optimized to a set of fuzzy rules with Gaussian membership functions using gradient descent training scheme. The performance prediction results for a ۶/۸, ۴kw, SR motor shows good agreement with the results obtained from IMEC method or Finite Element (FE) analysis. The developed fuzzy expert system can be used for fast prediction of motor performance in the optimal design process or on-line control schemes of SR motor.
کلیدواژه ها:
نویسندگان
C. Lucas
Intelligent Systems, Sharif University of Technology
M. Moallem
Electerical and Computer Engineering, Isfahan University of Technology
B. Mirzaeian
Electerical Engineering, Isfahan University of Technology