Best Choosing of Rule Set for Adaptive Neuro-Fuzzy Inference System (ANFIS)
نویسنده
چکیده
The neuro-fuzzy controller incorporates fuzzy logic algorithm with an artificial neural network (ANN) structure. The conventional PI controller is replaced by Adaptive NeuroFuzzy Inference System (ANFIS), which tunes the fuzzy inference system with hybrid learning algorithm, This makes fuzzy system training with performance of the neuro-fuzzy based vector controlled of the system under controlled. This paper concentrates on choosing the best rule base and gives some useful results. The simulation of the design is achieved by using Matlab Ver.2010a. Chopper-Fed DC Motor Drive (Continuous / Discrete) are consider as case study. Satisfactory results are obtained, that is explaining the ability of ANFIS controller to control with the dynamic high nonlinear system and can be get very good results by tunes the fuzzy controller. Keywords—Adaptive Neuro-Fuzzy Inference System (ANFIS), Chopper fed-DC motor drive. دعاوقل لضفلاا رايتخلاا فيكتملا ببضملا يبصعلا خاسنتسلاا ماظن . : صخمملا رطيسملا بببضملا يبصعلا ( NFC ) ايعانبصلا ايببصعلا تاكبب لا ببم ابببضملا ابيقطنملا ابيمزراوخلا مدبي رطيبسملا . يبسانتلا – ( يمضافتلا PI ) يبصعلا خاسنتسلاا ماظن اطاسوب لدبي اممع يبس جذبلاو ابمال جودزبملا ميبمعتلا بم فيكتملا ببضملا يسملا ةرا ا ساسا ىمع رطيسملا لمع نايدؤي اذبه لماوع ميقل لضفلاا رايتخلاا مدقي ثحبلا اذه .ةرطيسلا ايممعل بضاخلا ماظنمل رط . ئاتنلا نسحا ىمع لوصحمل ماظنلا اخبسن ب تابملا مادختبس ب تبمت ميمبصتلا اذبال ةابكاحملا 2010a ميمبصتلا اذبال ابسا رد ابلاحك رمتبسملا رابيتلا لربحم مدختبسأو , ( ةرمتسملا ةاكاحملا اقيرطبو continuous ( اعطقتملاو ) discrete مادختبسا ابيناكما نيببت ايبضرم ئابتن ىبمع لوبصحلا متو ) ئابتن ىبمع لوبصحلا نبكميو جديمقتلا رطيسملا لادبتساو ايطخ لا امظنلاا ىمع ةرطيسل فيكتملا ببضملا يبصعلا خاسنتسلاا ماظن ا ببضملا يبصعلا رطيسملا ميظنت ل خ نم لضف .
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