Determining Blade Pitch Angle Sensitivity for PID Controller

2012 ◽  
Vol 622-623 ◽  
pp. 1405-1409
Author(s):  
Min Jae Kang ◽  
Jung Min Ko ◽  
Chang Jin Boo ◽  
Jong Chul Huh ◽  
Jung Hoon Lee ◽  
...  
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Analytical Method ◽  
Pitch Angle ◽  
Pid Controller ◽  
Blade Pitch Angle

A blade pitch angle sensitivity of wind turbine can be used to design a PID pitch controller. However, it is not simple to get a blade pitch angle sensitivity of wind turbine , becuase it depends on not only a blade-pitch angle but also wind speed. This paper suggests the analytical method of determining a blade pitch angle sensitivity. Finally, examples have been simulated to evaluate the proposed method in this paper.

Design of Small Wind Turbine

2008 ◽  
Author(s):  
R. S. Amano ◽  
Ryan Malloy
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Wind Direction ◽  
Pitch Angle ◽  
Bridge Circuit ◽  
Small Wind Turbine ◽  
Swash Plate ◽  
Wind Vane ◽  
Blade Pitch Angle

The project has been completed, and all of the aforementioned objectives have been achieved. An anemometer has been constructed to measure wind speed, and a wind vane has been built to sense wind direction. An LCD module has been acquired and has been programmed to display the wind speed and its direction. An H-Bridge circuit was used to drive a gear motor that rotated the nacelle toward the windward direction. Finally, the blade pitch angle was controlled by a swash plate mechanism and servo motors installed on the generator itself. A microcontroller has been programmed to optimally control the servo motors and gear motor based on input from the wind vane and anemometer sensors.

scholarly journals Hybrid Pitch Angle Controller Approaches for Stable Wind Turbine Power under Variable Wind Speed

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3622 ◽  
Author(s):  
Md Rasel Sarkar ◽  
Sabariah Julai ◽  
Chong Wen Tong ◽  
Moslem Uddin ◽  
M.F. Romlie ◽  
...  
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Output Power ◽  
Pitch Angle ◽  
Pid Controller ◽  
Large Scale ◽  
Wind Speeds ◽  
Wide Range ◽  
Fast Wind ◽  
Simple Implementation

The production of maximum wind energy requires controlling various parts of medium to large-scale wind turbines (WTs). This paper presents a robust pitch angle control system for the rated wind turbine power at a wide range of simulated wind speeds by means of a proportional–integral–derivative (PID) controller. In addition, ant colony optimization (ACO), particle swarm optimization (PSO), and classical Ziegler–Nichols (Z-N) algorithms have been used for tuning the PID controller parameters to obtain within rated stable output power of WTs from fluctuating wind speeds. The proposed system is simulated under fast wind speed variation, and its results are compared with those of the PID-ZN controller and PID-PSO to verify its effeteness. The proposed approach contains several benefits including simple implementation, as well as tolerance of turbine parameters and several nonparametric uncertainties. Robust control of the generator output power with wind-speed variations can also be considered a significant advantage of this strategy. Theoretical analyses, as well as simulation results, indicate that the proposed controller can perform better in a wide range of wind speed compared with the PID-ZN and PID-PSO controllers. The WT model and hybrid controllers (PID-ACO and PID-PSO) have been developed in MATLAB/Simulink with validated controller models. The hybrid PID-ACO controller was found to be the most suitable in comparison to the PID-PSO and conventional PID. The root mean square (RMS) error calculated between the desired power and the WT’s output power with PID-ACO is found to be 0.00036, which is the smallest result among the studied controllers.

From Passive to Active Pitch Regulation of Wind Turbines: Optimization Method With Numerical Validation

2015 ◽  
Author(s):  
Ali Al-Abadi ◽  
YouJin Kim ◽  
Jin-young Park ◽  
Hyunjin Kang ◽  
Özgür Ertunc ◽  
...  
Keyword(s):  
Numerical Simulations ◽  
Wind Turbine ◽  
Control Strategy ◽  
Pitch Angle ◽  
Flow Behavior ◽  
Optimization Method ◽  
Horizontal Axis Wind Turbine ◽  
Pitch Regulation ◽  
Blade Pitch Angle ◽  
Turbine Model

An optimization method that changes the control strategy of the Horizontal Axis Wind Turbine (HAWT) from passive- to active-pitch has been developed. The method aims to keep the rated power constant by adjusting the blade pitch angle while matching the rotor and the drive torques. The method is applied to an optimized wind turbine model. Further, numerical simulations were performed to validate the developed method and for further investigations of the flow behavior over the blades.

scholarly journals Dynamic response improvement of hybrid system by implementing ANN-GA for fast variation of photovoltaic irradiation and FLC for wind turbine

2015 ◽  
Vol 64 (2) ◽  
pp. 291-314 ◽  
Author(s):  
Maziar Izadbakhsh ◽  
Alireza Rezvani ◽  
Majid Gandomkar
Keyword(s):  
Fuzzy Logic ◽  
Wind Speed ◽  
Dynamic Response ◽  
Wind Turbine ◽  
Hybrid System ◽  
Pitch Angle ◽  
Fuzzy Logic Controller ◽  
Control Method ◽  
Control Technique ◽  
Power Curves

Abstract In this paper, dynamic response improvement of the grid connected hybrid system comprising of the wind power generation system (WPGS) and the photovoltaic (PV) are investigated under some critical circumstances. In order to maximize the output of solar arrays, a maximum power point tracking (MPPT) technique is presented. In this paper, an intelligent control technique using the artificial neural network (ANN) and the genetic algorithm (GA) are proposed to control the MPPT for a PV system under varying irradiation and temperature conditions. The ANN-GA control method is compared with the perturb and observe (P&O), the incremental conductance (IC) and the fuzzy logic methods. In other words, the data is optimized by GA and then, these optimum values are used in ANN. The results are indicated the ANN-GA is better and more reliable method in comparison with the conventional algorithms. The allocation of a pitch angle strategy based on the fuzzy logic controller (FLC) and comparison with conventional PI controller in high rated wind speed areas are carried out. Moreover, the pitch angle based on FLC with the wind speed and active power as the inputs can have faster response that lead to smoother power curves, improving the dynamic performance of the wind turbine and prevent the mechanical fatigues of the generator

EWSE and Uncertainty and Disturbance Estimator Based Pitch Angle Control for Wind Turbine Systems Operating in Above-Rated Wind Speed Region

2019 ◽  
Vol 142 (3) ◽  
Author(s):  
Xuguo Jiao ◽  
Qinmin Yang ◽  
Bo Fan ◽  
Qi Chen ◽  
Yong Sun ◽  
...  
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Pitch Angle ◽  
Support Vector ◽  
Control Scheme ◽  
High System ◽  
Uncertainty And Disturbance Estimator ◽  
Systematic Solution ◽  
The Stability ◽  
Disturbance Estimator

Abstract As wind energy becomes a larger part of the world's energy portfolio, the control of wind turbines is still confronted with challenges including wind speed randomness and high system uncertainties. In this study, a novel pitch angle controller based on effective wind speed estimation (EWSE) and uncertainty and disturbance estimator (UDE) is proposed for wind turbine systems (WTS) operating in above-rated wind speed region. The controller task is to maintain the WTS's generator power and rotor speed at their prescribed references, without measuring the wind speed information and accurate system model. This attempt also aims to bring a systematic solution to deal with different system characteristics over wide working range, including extreme and dynamic environmental conditions. First, support vector machine (SVR) based EWSE model is developed to estimate the effective wind speed in an online manner. Second, by integrating an UDE and EWSE model into the controller, highly turbulent and unpredictable dynamics introduced by wind speed and internal uncertainties is compensated. Rigid theoretical analysis guarantees the stability of the overall system. Finally, the performance of the novel pitch control scheme is testified via the professional Garrad Hassan (GH) bladed simulation platform with various working scenarios. The results reveal that the proposed approach achieves better performance in contrast to traditional L1 adaptive and proportional-integral (PI) pitch angle controllers.

Near Wake Regime Study on Wind Turbine Blade Tip Vortex

2019 ◽  
Author(s):  
Ojing Siram ◽  
Niranjan Sahoo
Keyword(s):  
Wind Turbine ◽  
Strouhal Number ◽  
Vortex Shedding ◽  
Flow Condition ◽  
Pitch Angle ◽  
Tip Vortex ◽  
Near Wake ◽  
Helical Vortex ◽  
Blade Tip ◽  
Blade Pitch Angle

Abstract In the present research article results on wind turbine blade tip vortex have been presented, the measurements have been done behind a model scale of horizontal axis wind turbine rotor. The rotor used for flow characterization is a three-bladed having NACA0012 cross-section, the study has been performed for low range tip speed ratio of 0–2 and wind speeds range of 3–6 m/s. The investigation has been conducted specifically to near wake regime, which is often expressed as the region of regular helical vortex structures. Although this nature of regular helical vortex pattern has always been a question of debate with respect to changes in the flow condition, rotor geometry and point of measurements. A systematic experiment was done mainly on the frequency of vortex shedding through hot-wire anemometry (HWA), and the corresponding frequency is express in terms of Strouhal number. Present article work within near wake regime includes tip vortex shedding stability analysis for different blade pitch angle and flow condition. From the systematic experimental observation, the evaluated data indicate that the Strouhal number has an incremental trend when the blade pitch angle is close to 40°, and above it inconsistency in frequency response is observed.

scholarly journals Nonlinear Maximum Power Point Tracking Control Method for Wind Turbines Considering Dynamics

2020 ◽  
Vol 10 (3) ◽  
pp. 811 ◽  
Author(s):  
Liangwen Qi ◽  
Liming Zheng ◽  
Xingzhi Bai ◽  
Qin Chen ◽  
Jiyao Chen ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Pitch Angle ◽  
Maximum Power Point ◽  
Feed Forward ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Capture ◽  
Power Point ◽  
Aerodynamic Torque ◽  
Blade Pitch Angle

A combined strategy of torque error feed-forward control and blade-pitch angle servo control is proposed to improve the dynamic power capture for wind turbine maximum power point tracking (MPPT). Aerodynamic torque is estimated using the unscented Kalman filter (UKF). Wind speed and tip speed ratio (TSR) are estimated using the Newton–Raphson method. The error between the estimated aerodynamic torque and the steady optimal torque is used as the feed-forward signal to control the generator torque. The gain parameters in the feed-forward path are nonlinearly regulated by the estimated generator speed. The estimated TSR is used as the reference signal for the optimal blade-pitch angle regulation at non-optimal TSR working points, which can improve the wind power capture for a wider non-optimal TSR range. The Fatigue, Aerodynamics, Structures, and Turbulence (FAST) code is used to simulate the aerodynamics and mechanical aspects of wind turbines while MATLAB/SIMULINK is used to simulate the doubly-fed induction generator (DFIG) system. The example of a 5 MW wind turbine model reveals that the new method is able to improve the dynamic response of wind turbine MPPT and wind power capture.

The Rotor Speed Control of 5MW Wind Turbine under Rated Wind Speed Using Adaptive-PID Controller

2012 ◽  
Vol 229-231 ◽  
pp. 2323-2326
Author(s):  
Zong Qi Tan ◽  
Can Can Li ◽  
Hui Jun Ye ◽  
Yu Qiong Zhou ◽  
Hua Ling Zhu
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Pid Controller ◽  
Turbine Rotor ◽  
Speed Ratio ◽  
Rotor Speed ◽  
Rotating Speed ◽  
Tip Speed Ratio ◽  
Variable Wind ◽  
Wind Turbine Rotor

This paper designed the controller of the wind turbine rotor rotating speed. This model of adaptive-PID through control the tip-speed ratio and count the values of PID for variable wind speed. From the result of simulation, the wind speed can run in a good dynamic characteristic, and keep the rotor running in the best tip-speed ratio at the same time.

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