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Iranian Journal of Fuzzy Systems، جلد ۴، شماره ۱، صفحات ۳۷-۵۱
عنوان فارسی FUZZY BASED FAULT DETECTION AND CONTROL FOR ۶/۴ SWITCHED RELUCTANCE MOTOR
چکیده فارسی مقاله Prompt detection and diagnosis of faults in industrial systems are
essential to minimize the production losses, increase the safety of the operator
and the equipment. Several techniques are available in the literature to achieve
these objectives. This paper presents fuzzy based control and fault detection for a
6/4 switched reluctance motor. The fuzzy logic control performs like a classical
proportional plus integral control, giving the current reference variation based on
speed error and its change. Also, the fuzzy inference system is created and rule
base are evaluated relating the parameters to the type of the faults. These rules are
fired for specific changes in system parameters and the faults are diagnosed. The
feasibility of fuzzy based fault diagnosis and control scheme is demonstrated by
applying it to a simulated system.
کلیدواژه‌های فارسی مقاله Fault Diagnosis، Fuzzy logic، Switched Reluctance Motor، Fuzzy Inference Systems،
عنوان انگلیسی FUZZY BASED FAULT DETECTION AND CONTROL FOR 6/4 SWITCHED RELUCTANCE MOTOR
چکیده انگلیسی مقاله Prompt detection and diagnosis of faults in industrial systems are
essential to minimize the production losses, increase the safety of the operator
and the equipment. Several techniques are available in the literature to achieve
these objectives. This paper presents fuzzy based control and fault detection for a
6/4 switched reluctance motor. The fuzzy logic control performs like a classical
proportional plus integral control, giving the current reference variation based on
speed error and its change. Also, the fuzzy inference system is created and rule
base are evaluated relating the parameters to the type of the faults. These rules are
fired for specific changes in system parameters and the faults are diagnosed. The
feasibility of fuzzy based fault diagnosis and control scheme is demonstrated by
applying it to a simulated system.
کلیدواژه‌های انگلیسی مقاله Fault Diagnosis, Fuzzy logic, Switched Reluctance Motor, Fuzzy Inference Systems
نویسندگان مقاله n selvaganesan |
department of electrical amp;amp; electronics engineering, pondicherry engineering college, pondicherry-605014, india

d رجا |
department of electrical amp;amp; electronics engineering, pondicherry engineering college, pondicherry-605014, india

s srinivasan |
department of instrumentation engineering, mit campus, anna university, chromepet, chennai-600044, india

نشانی اینترنتی http://ijfs.usb.ac.ir/article_356_9057931d5fc7d9338fab8be76e173fb2.pdf
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