Fusion: Practice and Applications
  FPA
  2692-4048
  2770-0070
  
   10.54216/FPA
   https://www.americaspg.com/journals/show/1971
  
 
 
  
   2018
  
  
   2018
  
 
 
  
   An Implicit Controlling of Adaptive Neuro Fuzzy Inference System Controller for The Grid Connected Wind Driven PMSG System
  
  
   SOES at G D Goenka University-Sohna, Gurugram (Haryana) 122103, India
   
    Nirmal Kumar
    ..
   
   SOES at G D Goenka University-Sohna, Gurugram (Haryana) 122103, India
   
    Manish
    Prateek
   
   USAR,  Guru Gobind Singh Indraprastha University,  (New Delhi) 110032, India
   
    Neeta
    Singh
   
   Department of Electrical Engineering, JSS Academy of Technical Education, Noida
   
    Abhinav
    Saxena
   
  
  
   The article presents the design and control of the adaptive neuro fuzzy Inference system (ANFIS) for the wind-driven permanent magnet synchronous generator (PMSG) in the grid connected system. The rectifier and inverter are connected with the PMSG output and the grid for maintaining the voltage at the grid under variable wind operations. Such interconnections have many challenges, like high harmonics at the output and an improper voltage profile. The harmonics are measured in terms of total harmonic distortion (THD). Performance parameters like peak overshoot and settling time of DC link voltage and rotor speed have been measured. The control of the rectifier and inverter has been assessed with the ANFIS and PID controllers. A closed strategic mechanism has been developed for the ANFIS and PID controllers for improving the performance parameters and harmonics.. Finally, it is observed that the peak overshoot (%) and settling time (sec) of the DC link voltage with ANFIS are 5.2% and 2.9 sec, which are found to be less in comparison to the PID controller with the values of 6.1% and 3.8 sec and other existing methods. Similarly, the settling time (sec) of rotor speed with ANFIS is 1.1 sec, which is less than the settling time (2.6 sec) of the PID controller. Another advantage of ANFIS is the reduction of THD (%) of 5.1% with respect to THD (%) of PID controllers of 6.2% and other existing methods. The reduced THD shows the improved version of the voltage profile.
  
  
   2023
  
  
   2023
  
  
   193
   205
  
  
   10.54216/FPA.120216
   https://www.americaspg.com/articleinfo/3/show/1971