Performance Improvement of DC Motor by using ANFIS Controller

This research paper is to improve a DC motor's performance by using two different control strategies: Sliding Mode Control (SMC) and ANFIS. Fuzzy Logic (FL) and Neural Networks (NN) are used by the ANFIS controller to show flexibility in the face of nonlinearities, and SMC shows resilience in t...

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Vydáno v:2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN) s. 932 - 938
Hlavní autoři: Basha, Mulla Gouse, Chenchireddy, Kalagotla, Ahmed Sydu, Shabbier, sultana, waseem, Kumar, V, Ganesh, Lukka Bhanu
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 03.05.2024
Témata:
Adaptive Control
DC motor
DC motors
Faces
Fuzzy logic
Performance Improvement
Real-time systems
Robust Control
Simulation
Sliding Mode Control
Social networking (online)
Uncertainty
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Abstract This research paper is to improve a DC motor's performance by using two different control strategies: Sliding Mode Control (SMC) and ANFIS. Fuzzy Logic (FL) and Neural Networks (NN) are used by the ANFIS controller to show flexibility in the face of nonlinearities, and SMC shows resilience in the face of uncertainty. The dynamic response of the armature current and DC motor speed under each control technique is shown by the simulation results. By highlighting the benefits and drawbacks, comparative analysis helps to choose the best control strategy for a given set of application needs.
AbstractList This research paper is to improve a DC motor's performance by using two different control strategies: Sliding Mode Control (SMC) and ANFIS. Fuzzy Logic (FL) and Neural Networks (NN) are used by the ANFIS controller to show flexibility in the face of nonlinearities, and SMC shows resilience in the face of uncertainty. The dynamic response of the armature current and DC motor speed under each control technique is shown by the simulation results. By highlighting the benefits and drawbacks, comparative analysis helps to choose the best control strategy for a given set of application needs.
Author Ahmed Sydu, Shabbier
sultana, waseem
Kumar, V
Basha, Mulla Gouse
Ganesh, Lukka Bhanu
Chenchireddy, Kalagotla
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  givenname: Kalagotla
  surname: Chenchireddy
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  givenname: Shabbier
  surname: Ahmed Sydu
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  givenname: waseem
  surname: sultana
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  givenname: V
  surname: Kumar
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  email: kumarpoma@gmail.com
  organization: Teegala Krishna Reddy Engineering College,Dept. of EEE,Hyderabad,Telangana,India
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  givenname: Lukka Bhanu
  surname: Ganesh
  fullname: Ganesh, Lukka Bhanu
  email: bhanuganesh.lukka@gmail.com
  organization: Vignan Institute of Technology & Science,Dept. of Electrical and Electronics Engineering
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Snippet This research paper is to improve a DC motor's performance by using two different control strategies: Sliding Mode Control (SMC) and ANFIS. Fuzzy Logic (FL)...
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SubjectTerms Adaptive Control
DC motor
DC motors
Faces
Fuzzy logic
Performance Improvement
Real-time systems
Robust Control
Simulation
Sliding Mode Control
Social networking (online)
Uncertainty
Title Performance Improvement of DC Motor by using ANFIS Controller
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