Performance analysis of a robust adaptive fuzzy logic controller for wind turbine power limitation

2020 ◽  
Vol 265 ◽  
pp. 121659
Author(s):  
O. Zamzoum ◽  
A. Derouich ◽  
S. Motahhir ◽  
Y. El Mourabit ◽  
A. El Ghzizal
2011 ◽  
Vol 403-408 ◽  
pp. 5038-5044
Author(s):  
Maryam Sadeghi ◽  
Majid Gholami

Intelligent Universal Transformer (IUT) will comprise in Advanced Distribution Automation (ADA) with a new invention in control and management in future. It evolves with a high speed traditional transformer in addition to power electronic base construction will eventuate to oil elimination, dimensional size and weight reduction. Adaptive Fuzzy Logic Control (AFLC) is an adaptive progressed method with the high system performance capability being raised even on the uncertainty conditions. It enhances system stability, improves flexibility and releases designers from precise mathematical model utilization. Expert designer Knowledge is a critical requirement for conventional fuzzy logic controller (FLC), in contrast the AFLC rules and parameters are generated by adaptive model and human knowledge will downright initialize the first parameters values. In this approach four layers IUT topology is considered for developing the end user service options as 48V DC, reliable power as 240V AC 400HZ and three phase power option. AFLC schemes are proposed for employing current and voltage controllers in input output stages. Real time voltage regulation, automatic sag correction, Harmonic Filtering, energy storage option and dynamic system monitoring are the resulting benefits of using IUT four layers topology. AFLC methodology, leading the system robustness in any cases of grid and load disturbances.


2009 ◽  
Vol 36 (10) ◽  
pp. 12104-12112 ◽  
Author(s):  
T. Hussein ◽  
M.S. Saad ◽  
A.L. Elshafei ◽  
A. Bahgat

2009 ◽  
Vol 36 (2) ◽  
pp. 1540-1548 ◽  
Author(s):  
Cetin Elmas ◽  
Omer Deperlioglu ◽  
Hasan Huseyin Sayan

Author(s):  
P. J. Ragu

In this paper, temperature monitoring of sterilizing equipment system was established with the help of fuzzy and self tuning Adaptive fuzzy logic controller designed in Lab VIEW software. It combines the advantages of both fuzzy logic and self tuning Adaptive fuzzy logic controller. The implementation attempts to rectify the errors between the measured value and the set point which helps to achieve efficient temperature control. The Adaptive fuzzy controller uses defined rules to control the system based on the current values of input variables and temperature errors. The simulation results presented in order to evaluate the proposed method. The result shows that self tuning  Adaptive fuzzy logic controller was tolerant to disturbance and the temperature control is most accurate.


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