Advanced AI based Controller for Wind Turbine Pitch Control-Reference-Cited by-同舟云学术

Advanced AI based Controller for Wind Turbine Pitch Control

Published:2022-11-10 Issue: Volume: Page:
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Container-title:2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
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Author:

Joshi Mahesh Prakash¹,Mallikarjunaiah S.²,Rao SeeramSrinivasa³,Umarani B.⁴,KarthiKumar K⁵,Subramaniam Sai⁶

Affiliation:

1. MIT Academy of Engineering,School of mechanical and civil engineering,Pune,Maharashtra,India,412105

2. VEMU Institute of Technology,Department of Electrical & Electronics Engineering,Chitoor,Andhra Pradesh,India,517112

3. KoneruLakshmaiah Education Foundation,Department of Mechanical Engineering,Vaddeswaram,Andhra Pradesh,India,522302

4. Kongunadu College of Engineering and Technology Thottiyam,Department of Electronics and Communication Engineering,Trichy,Tamilnadu,India,621 215

5. Vel Tech RengarajanDr.Sagunthala R&D Institute of Science and Technology,Department of Electrical & Electronics Engineering,Chennai,TamilNadu,India,600062

6. Sri Sairam Engineering College,Department of Mechanical Engineering,Chennai,TamilNadu,India,602109

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9986507/9986494/09987415.pdf?arnumber=9987415

Reference16 articles.

1. Control of Large Wind Turbines: Review and Suggested Approach to Multivariable Design;suryanarayanan;Proc of the American Control Conference,2005

2. Proportional–integral–derivative parameter optimisation of blade pitch controller in wind turbines by a new intelligent genetic algorithm

3. Reinforcement learning is direct adaptive optimal control;sutton;IEEE Control Systems Magazine,1992

4. New Type PID Control and its Application;yonghua,2008

5. DFIG Pitch Angle Control with PID-type Fuzzy Logic Controller in a Microgrid