Published January 1, 2018 | Version v1
Journal article

Self-optimizing Pitch Control for Large Scale Wind Turbine Based on ADRC

  • 1. Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences. Quanzhou, Fujian, China. (China)
  • 2. Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences. Quanzhou, Fujian (China)

Description

Since wind turbine is a complex nonlinear and strong coupling system, traditional PI control method can hardly achieve good control performance. A self-optimizing pitch control method based on the active-disturbance-rejection control theory is proposed in this paper. A linear model of the wind turbine is derived by linearizing the aerodynamic torque equation and the dynamic response of wind turbine is transformed into a first-order linear system. An expert system is designed to optimize the amplification coefficient according to the pitch rate and the speed deviation. The purpose of the proposed control method is to regulate the amplification coefficient automatically and keep the variations of pitch rate and rotor speed in proper ranges. Simulation results show that the proposed pitch control method has the ability to modify the amplification coefficient effectively, when it is not suitable, and keep the variations of pitch rate and rotor speed in proper ranges (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/301/1/012155

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
301
Journal Issue
1
Journal Page Range
[7 p.]
ISSN
1757-899X

Conference

Title
5. Annual International Conference on Material Science and Environmental Engineering
Acronym
MSEE2017
Dates
15-17 Dec 2017
Place
Xiamen (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52072418
Subject category
S17: WIND ENERGY;
Resource subtype / Literary indicator
Conference
Descriptors DEI
AERODYNAMICS; AMPLIFICATION; COMPUTERIZED SIMULATION; CONTROL THEORY; DESIGN; DISTURBANCES; EXPERT SYSTEMS; OPTIMIZATION; PERFORMANCE; ROTORS; STRONG-COUPLING MODEL; TORQUE; VARIATIONS; VELOCITY; WIND TURBINES
Descriptors DEC
EQUIPMENT; FLUID MECHANICS; MACHINERY; MATHEMATICAL MODELS; MECHANICS; PARTICLE MODELS; SIMULATION; TURBINES; TURBOMACHINERY