Design, modeling and implementation of a novel pitch angle control system for wind turbine

2015 ◽  
Vol 81 ◽  
pp. 599-608 ◽  
Author(s):  
Xiu-xing Yin ◽  
Yong-gang Lin ◽  
Wei Li ◽  
Ya-jing Gu ◽  
Xiao-jun Wang ◽  
...  
Keyword(s):  
Control System ◽  
Wind Turbine ◽  
Pitch Angle

The Modeling and Simulation of Wind Turbines and the Design of Pitch Control System

2011 ◽  
Vol 347-353 ◽  
pp. 2323-2329
Author(s):  
Zhi Chao Lan ◽  
Lin Tao Hu ◽  
Yin Xue ◽  
De Liang Zen
Keyword(s):  
Control System ◽  
Wind Speed ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Pitch Angle ◽  
Active Power ◽  
Internal Model Control ◽  
Pitch Control ◽  
Constant Pitch ◽  
Model Control

An increasing number of large wind turbines with a variable-speed variable pitch control mechanism are developed to improve the response speed of wind turbines and get maximum active power .Designing a reasonable pitch control system requires both a good control scheme and a more accurate wind turbine model. Base on the analysis of wind turbines’ principle, a local linearization model of wind turbine is built by using linearization method of small deviation in this paper. The model’s inputs are the data of wind speed and pitch angle, and the output is the active power. The accuracy of the model is verified by studying the active power output of wind turbine under different circumstances in which the pitch angle changes with a constant wind speed and the wind speed changes with a constant pitch angle. At the same time, this paper provides pitch control program based on internal model control after analyzing the disadvantages of PID pitch controller. When the wind speed is beyond the rating, the active power can be limited reasonably around the power rating of wind turbines by adjusting the pitch angle.

scholarly journals The MPPT algorithm combined with pitch angle control for the small-scale wind turbine in a wide speed range

2021 ◽  
Vol 12 (3) ◽  
pp. 1482
Author(s):  
Quang-Vi Ngo ◽  
Trong-Thang Nguyen
Keyword(s):  
Control System ◽  
Wind Turbine ◽  
Control Strategy ◽  
Pitch Angle ◽  
Fuzzy Controller ◽  
Algorithm Design ◽  
System Structure ◽  
Small Scale ◽  
Speed Range ◽  
Wide Speed Range

This research proposes the control system structure for a small-scale wind turbine. Significantly, the maximum power point tracking algorithm (MPPT) and the pitch angle controller are deeply analyzed; this is the base for proposing the strategy of the MPPT algorithm combined with pitch-angle control in a wide speed range of wind. This article also researches the converters, then analyses the advantages of each converter to choose the suitable converter for the small-scale wind turbine. In the MPPT algorithm design, the expert experience takes advantage through the fuzzy controller. The pitch angle controller is built based on the PID controller with its parameters adjusted by Fuzzy logic. The results showed that the effectiveness of the proposed control strategy is much better than that of the traditional control strategy. Moreover, in high and low wind speeds, the proposed control system operates reliably and stably.

The Simulation of Pitch Control System for Variable Speed Wind Turbine Based on Neural Network

2011 ◽  
Vol 383-390 ◽  
pp. 2501-2506
Author(s):  
Li Na Liu ◽  
Hui Juan Qi ◽  
Bin Li
Keyword(s):  
Neural Network ◽  
Control System ◽  
Wind Speed ◽  
Wind Turbine ◽  
Output Power ◽  
Pitch Angle ◽  
Optimal Control Strategy ◽  
Pitch Control ◽  
Detailed Simulation ◽  
And Performance

The parameters of large wind turbine need to be adjusted timely to avoid excessive wind energy that will cause damage on the wind turbine itself. Based on the simplified mathematical model of wind turbine, we got the relationship curve between its parameters. When the speed of wind was higher than the rated wind speed, we figure out the value of pitch angle during the changes of effective wind speed to keep rated output power. Neural Network used to train the data and pitch control system was built, it used to adjust pitch angle once the wind changes, and maintain the output power at rated value. The complex mathematical relation can be replaced by the trained network model. Detailed simulation results have confirmed the feasibility and performance of the optimal control strategy, which protect the wind turbine from damage and prolong its service life.

A Study on Motion Characteristics of Wind Turbine on a Floating Platform in Blade Pitch Control Malfunction

2016 ◽  
Author(s):  
Yuki Mizukami ◽  
Yasunori Nihei ◽  
Kazuhiro Iijima ◽  
Naoyuki Hara
Keyword(s):  
Control System ◽  
Wind Turbine ◽  
Pitch Angle ◽  
Control Period ◽  
Scale Model ◽  
Floating Platform ◽  
Rotor Rotation ◽  
Pitch Error ◽  
Tank Test ◽  
Blade Pitch Angle

Wind power generation has been paid much attention all over the world with the increasing crisis awareness of climate change mainly caused by excessive fuel consumption. For real wind turbine, each blade pitch angle is controlled not only to keep output power constant depending on fluctuation of wind speed but also to avoid the failure of generating system due to over speed of the rotor rotation. Nowadays, a few demonstration projects for Floating Offshore Wind Turbine (FOWT) are under way. It is essential to improve the safety of FOWT. For that, it will be more required to conduct tank test with scale model including control system so as to provide the behavior similar to the actual FOWT. However, almost every institute has never incorporated control system in scale model. This is because every institute faces to the difficulty of incorporating control system in scale model in terms of weight. The larger FOWT would be from now on, the more necessary it is to lighten scale model in consideration of the capacity of existing facilities. Therefore, we conducted 1/100th-scale model tests with control system using a geometrically scaled model of the National Renewable Energy Laboratory (NREL) 5MW reference wind turbine. As for this model, a new control system consisting of bevel gears was developed. Owing to this system, the mass of the scaled turbine is 41% lighter than the conventional one. In addition, this control system realized the shortening of control period in reference to scaling down of the actual control period. This tank test showed this control system is enough effective to keep rotor rotation frequency. Moreover, this paper clarifies the motion of FOWT in control malfunction. If blade pitch angle abruptly changes due to the failure of control system, the number of the rotor rotation increases and floating platform inclines greatly. This great inclination causes the sudden rise of mooring tension and bending moment on the base of tower. This phenomenon jeopardizes the base of tower or the mooring line. We call this phenomenon “Pitch Error”. This is because of the rapid increase of thrust. In addition to this, the influence of nacelle’s inertia induces the inclination of FOWT. In case of offshore, we have to pay attention to nacelle’s inertia caused by inclination because the base of tower is not fixed. FOWT would be more severe than onshore in control malfunction. Finally, how dangerous Pitch Error would be for real FOWT is discussed.

scholarly journals Predicting the Extreme Loads in Power Production of Large Wind Turbines Using an Improved PSO Algorithm

2019 ◽  
Vol 9 (3) ◽  
pp. 521 ◽  
Author(s):  
Caicai Liao ◽  
Kezhong Shi ◽  
XiaoLu Zhao
Keyword(s):  
Control System ◽  
Wind Turbine ◽  
Pitch Angle ◽  
Bending Moment ◽  
Pso Algorithm ◽  
Power Production ◽  
Bending Moments ◽  
Rotor Speed ◽  
Blade Root ◽  
Extreme Loads

Predicting the extreme loads in power production for the preliminary-design of large-scale wind turbine blade is both important and time consuming. In this paper, a simplified method, called Particle Swarm Optimization-Extreme Load Prediction Model (PSO-ELPM), is developed to quickly assess the extreme loads. This method considers the extreme loads solution as an optimal problem. The rotor speed, wind speed, pitch angle, yaw angle, and azimuth angle are selected as design variables. The constraint conditions are obtained by considering the influence of the aeroelastic property and control system of the wind turbine. An improved PSO algorithm is applied. A 1.5 MW and a 2.0 MW wind turbine are chosen to validate the method. The results show that the extreme root load errors between PSO-ELPM and FOCUS are less than 10%, while PSO-ELPM needs much less computational cost than FOCUS. The distribution of flapwise bending moments are close to the results of FOCUS. By analyzing the loads, we find that the extreme flapwise bending moment of the blade root in chord coordinate (CMF_ROOT) is largely reduced because of the control system, with the extreme edgewise bending moment of the blade root in chord coordinate (CME_ROOT) almost unchanged. Furthermore, higher rotor speed and smaller pitch angle will generate larger extreme bending moments at the blade root.

scholarly journals Simulation Model of Wind Turbine Power Control System with Fuzzy Regulation by Mamdani and Larsen Algorithms

2017 ◽  
Vol 13 (2) ◽  
Author(s):  
Ghada Adel Aziz
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Power Control ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Pitch Angle ◽  
Fuzzy Inference ◽  
Control Loop ◽  
Power Control System ◽  
Classical Control

Abstract       The aim of this work is to create a power control system for wind turbines based on fuzzy logic. Three power control loop was considered including: changing the pitch angle of  the blade, changing the length of the blade and turning the nacelle. The stochastic law was given for changes and instant inaccurate assessment of wind conditions changes. Two different algorithms were used for fuzzy inference in the control loop, the Mamdani and Larsen algorithms. These two different algorithms are materialized and developed in this study in Matlab-Fuzzy logic toolbox which has been practically implemented using necessary intelligent control system in electrical engineering and renewable energy concepts.      A comparison was done to access the functionality of  the developed power control system of fuzzy logic and classical control system with PID – control. It can be concluded that the power control system of fuzzy logic allows to accurately maintain production under the control target function for each work area. When switching operation of wind turbines, it has the distinction that from 13.5 m/s  to another wind velocity value, there is no overshoot  and a typical of classical control systems, and when the wind velocity V is less than13.5 m / s, the pitch angle of the blades should be slightly greater than zero, and if it has increased by 5 °, then blade length should be minimal as possible. Simulation program proved the possibility of effective power regulation for the large wind turbines controller fuzzy type on the basis of knowledge production "if - then" rules, which were shown to be effective on these wind turbines control.  Keywords: Mamdani and Larsen algorithms fuzzy inference, Matlab Fuzzy Logic ,Fuzzy-PID controllers, Wind turbine.

scholarly journals The fuzzy-PID based-pitch angle controller for small-scale wind turbine

2020 ◽  
Vol 11 (1) ◽  
pp. 135
Author(s):  
Quang-Vi Ngo ◽  
Chai Yi ◽  
Trong-Thang Nguyen
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Wind Turbine ◽  
Pitch Angle ◽  
Pid Controller ◽  
Fuzzy Logic Controller ◽  
Small Scale ◽  
Fuzzy Pid ◽  
Proportional Integral Derivative ◽  
Fuzzy Pid Controller

<p>This paper aims to design the pitch angle control based on proportional–integral–derivative (PID) controller combined with fuzzy logic for small-scale wind turbine systems. In this control system, the pitch angle is controlled by the PID controller with their parameter is tuned by the fuzzy logic controller. This control system can compensate for the nonlinear characteristic of the pitch angle and wind speed. A comparison between the fuzzy-PID-controller with the conventional PID controller is carried out. The effectiveness of the method is determined by the simulation results of a small wind turbine using a permanent magnet generator (PMSG).</p>

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