The field of power systems operation and control including renewable energy (RE) along with power, quality is considered as one of the major technical challenges among the researchers and practicing engineers. Several types of renewable energy resources are available on earth such as solar, wind, Geo-thermal, hydro, etc. The foremost resources of renewable energy are - Sunlight and Wind. The wind energy is always a center of attraction for power engineers. In the wind energy system, the pitch angle of turbine blades is playing an important role in controlling the power output of the system. The pitch angle imposes two types of control on the wind turbine system: aerodynamic torque and the rotational velocity of the turbine system. These parameters directly affect the performance of the wind power generation system in terms of the profile of power, voltage, and current. Conventionally, PID control-based system modeling has been used to evaluate the optimal pitch angle for a given wind pattern. However, PID based Pitch Angle Identification require regular tuning against variation in wind velocity and significant large time for tuning. Thus, Artificial Intelligence could provide a better solution in comparison to PID Based tuning strategy. The present work shows the evaluation of the optimal pitch angle of the wind turbines for variable wind velocity using the Fuzzy Logic Control Strategy. The test results are obtained by MATLAB Simulink modeling of the wind power generation system. The simulation shows that fuzzy logic control will provide an optimal pitch angle to obtain more efficient solutions. The existing fuzzy control-based simulation model solutions can be utilized as a testbed for evaluating the optimal pitch Angle of any geographical region. In the present work, the optimal pitch angle of Various Geographical regions of India.

1. Final Project Presentation
Department of Electrical & Electronics Engineering,
KIET Group of Institutions, Ghaziabad
Pitch Angle Control of Wind Turbine Using Fuzzy Logic
Controller
Arpit Bhushan Sharma
1602921041, 4th Year, VIII Semester
B.Tech in Electrical & Electronics Engineering
Alok Shukla
1602921016, 4th Year, VIII Semester
B.Tech in Electrical & Electronics Engineering
Supervisors :
Dr. Brijesh Singh - Associate Professor, Electrical & Electronics Engineering
Dr. Neeraj Gupta – Head of Department, Electrical & Electronics Engineering

2. Aim and Objectives of the Project
Department of Electrical & Electronics Engineering,
KIET Group of Institutions, Ghaziabad
Aim :
Due to Scarcity of Electricity in Country and Government is still funding
for smart cities, not on the villages with no electricity. Wind Energy is a
constant and free source of Energy. Using Wind Turbine to give constant
supply of Electricity to these rural areas and for future use, one of the
major issue is by this project.
Objectives :
• To study the Wind Pattern of the Area
• To study the variation of Pitch Angle with Wind Speed
• To identify the Aerodynamic Torque of Wind and its
Blades
• To study the effect of Pitch Angle on Wind Power.
• To Study Fuzzy Logic Controller

3. Methodology
Department of Electrical & Electronics Engineering,
KIET Group of Institutions, Ghaziabad
• The Project is about giving a simulation model of Wind
Turbine where we get an optimal pitch Angle of small
Wind Turbine model for the area where it will be installed.
• The Simulation Model used will provide the optimal Pitch
Angle for the Wind Turbine by analyzing the Wind pattern
of the Area.
• The Simulation model of MATLAB – SIMULINK R2019a
uses Mathematical calculations for giving the optimal pitch
Angle.
• The THD are much more lower in Fuzzy Model as
Compare to PID model

4. Introduction
Department of Electrical & Electronics Engineering,
KIET Group of Institutions, Ghaziabad
What is Pitch Angle ?
Blade pitch angle is the angle between the normal to axis of rotation and chord of the
airfoil at the point of location.

5. Summary of Literature Review
Department of Electrical & Electronics Engineering,
KIET Group of Institutions, Ghaziabad
1. The wind coming from the wind conversion process is not with perfect efficiency, as energy extracted from
wind is proportional to cube of wind speed.
2. The Pitch Angle is not adjustable according to variable wind speed, so it behaves as a non - linear system,
Therefore, in modern wind energy conversion systems (WECS) this issue of non-linearity, control system
plays a very vital role.
3. According to wind speed, a variable speed, variable pitch wind turbine has two operating regions. Variable
speed variable pitch wind turbine is of multiple inputs multiple outputs in nature.
4. The methods used to control Pitch angle is Fuzzy logic controller for interface with the process and adjust
the controller parameter by rules used.
5. The Fuzzy logic uses if-then rules defined with linguistic expressions and express the qualified statements
that comprise fuzzy logic.
6. A fuzzy if-then rule assume the form, if X is A then y is B. These verbal terminologies are derived from
human experts who have some experience and knowledge about the system.
7. Outputs produced by fuzzy Logic controller are more reliable because effect of noise parameter and events
due to wide range of control region had less impact on it.

6. Validation Studies
Department of Electrical & Electronics Engineering,
KIET Group of Institutions, Ghaziabad
Validation studies were conducted on the Dataset of Delhi which is
shown below. The optimal Pitch Angle came after the study by
Fuzzy logic Control is 10.3 Degrees which is precisely the value at
which the pitch Angle is kept at the time of Installation.

7. The graphical Changes between Pitch Angle and Wind
Speed is:
Validation Studies

8. The graphical Changes between Pitch Angle and Power is:
Validation Studies

9. Design/Simulation
Department of Electrical & Electronics Engineering,
KIET Group of Institutions, Ghaziabad

10. Results and Discussions
Department of Electrical & Electronics Engineering,
KIET Group of Institutions, Ghaziabad

11. Results & Discussions

12. Conclusions
Department of Electrical & Electronics Engineering,
KIET Group of Institutions, Ghaziabad
The Results obtained from the simulation are shown and thus by using Fuzzy
Inference System and Fuzzy Logic Controller, The pitch angle controller and the
output power has been limited at variable wind speed and wind turbine can
operate safely. The results are taken at the values which are inherent in the
MATLAB R2016a Simulink blocks and from the Simulink results. The wind
speed changes, then the pitch angle can be variable according to pitch angle
controller, for variable speed.

13. Suggestions for future work
Department of Electrical & Electronics Engineering,
KIET Group of Institutions, Ghaziabad
India is a land of unlimited potential and Wind energy is a great source to fulfill India’s energy
needs as well as develop its economy. Future and development of India depends upon many
factors: one of them is being self dependent for its energy demands. In India, metros network
can be a great source of wind power generation as it will need lighter
equipment than conventional wind turbines to harness the wind generated by commute of
metro trains.
wind turbines can be installed at sites of the metro tracks so without much extra investment
wind energy can be
generated.
Right now India’s is headed on an increasing graph with a slower slope than before. It will
have to keep the slope of this growth rate steeper if it wishes to achieve its targets in energy
sector.

14. Future Plan of Work
S. No Work Duration
1 Work Study and Research August
2 Calculations and Simulink Model September
3 Wind turbine model in Simulink October
4 Fuzzy Logic Controller November
5 Results January and February
6 Conference Paper Commencement March
7 Final report and Presentation April
8 Synopsis Submission April

15. References continued . . .
Department of Electrical & Electronics Engineering,
KIET Group of Institutions, Ghaziabad
[1] S. Ahmed, M.A.Rashid, S.B. Yaakob and A. Yusof, “ Pitch angle Control of grid
connected Wind turbine”,2014 5th International Conference on Intelligent and Advanced
System(ICIAS)’ INSPEC No. 14502007, 4 August 2004
[2] A.Merabet,J.Thongam and Jason Gu, “Torque and pitch angle control for variable speed
wind turbines in all operating regimes” , 2011 10th International Conference on
Environment and Electrical Engineering, INSPEC No. 1205044, 13 june 2011
[3] A.Abir,D.Mehandi and S.Lassaad,“ Pitch angle control of the variable speed wind
turbine”, 2016 17th International Conference on Sciences and Techniques of Automatic
Control and Computer Engineering (STA), INSPEC no. 16966835, 19 june 2017
[4] S.Z.Hassan,Hui Li,T.Kamal,M.Q.Abbas,M.A.Khan,G.M.Mufti,“An Intelligent pitch
angle control of Wind Turbine”,2017 international Symposium on Recent Advances In
Electrical Engineering(RAEE),INSPEC No. 17485037, 4 january 2018
[5] J. Earnest, T. Wizelius,“Wind Power Plants and Project Development”, PHI Learning
Private Limited, New Delhi, 2011

16. Thank You !
Have a Good Day