نتایج جستجو برای: pitch angle control system

تعداد نتایج: 3369759  

In this paper, dynamic modeling of a Vestas 660 kW wind turbine and its validation are performed based on operational data extracted from Eoun-Ebn-Ali wind farm in Tabriz, Iran. The operational data show that the turbine under study, with a classical PI controller, encounters high fluctuations when controlling the output power at its rated value. The turbine modeling is performed by deriving th...

2009
V. Ramakrishnan S. K. Srivatsa

This paper describes the modeling of the various components in a pitch controlled wind energy system and the design of the pitch controller, and discusses the response of the pitch-controlled system to wind velocity variations. The investigated pitch control system was observed to have a large output power variation and settling time. The pitch function provides full control over the mechanical...

2012
Chatinderpal Singh

Wind energy is currently the fastest-growing renewable source of energy in India; India is a key market for the wind industry, presenting substantial opportunities for both the international and domestic players. In India the research is carried out on wind energy utilization on big ways .There are still many unsolved challenges in expanding wind power, and there are numerous problems of intere...

2012
OUISSAM BELGHAZI MOHAMED CHERKAOUI

The pitch angle control is the most common means for adjusting the aerodynamic torque of the wind turbine when we rate wind speed, controlling various variables could be chosen, as generator power, generator speed and wind. As conventional pitch control customarily use PI controller, the mathematical model of the system should be well known. The controller design by the genetic algorithm is dev...

2013
Jingwen Tian Meijuan Gao Yonggang He

Since the control system of the welding gun pose in whole‐position welding is complicated and nonlinear, an intelligent control system of welding gun pose for a pipeline welding robot based on an improved radial basis function neural network (IRBFNN) and expert system (ES) is presented in this paper. The structure of the IRBFNN is constructed and the improved genetic algorithm is a...

Journal: :American Journal of Engineering and Applied Sciences 2008

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