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The Research Of Wind Power Pitch Control System

Posted on:2016-06-22Degree:MasterType:Thesis
Country:ChinaCandidate:B XuFull Text:PDF
GTID:2272330464971549Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
In energy shortages, environmental protection and climate change and other issues have become increasingly prominent in the background, the development of clean energy, low-carbon economy and achieve optimal allocation of energy has become an important strategic world. Wind power industry as an emerging industry, has begun to take shape after years of development, and its important role in the future will not change the long-term period.In the wind power generation system, pitch control system’s security, stability and reliability directly affects the efficiency of the wind turbine, power quality, visible pitch control system holds an important position. The Object of this study is to 2MW direct drive permanent magnet synchronous wind power systems. At first, we analysis the present situation of wind power and the problems faced, but also discuss the pitch control strategy development trend, then according to the basic model and operational control analysis principles of the wind turbines, taking into account the actual characteristics of the wind, we set up the MATLAB simulation model such as wind speed model, wind turbine model, transmission model, permanent magnet synchronous generator model and other wind-based systems. we design the control system based on DSP TMS320F2812 chip and choose a permanent magnet synchronous motor as the servo drive motor, The hardware design includes peripheral circuits and switching power supply design;The software design includes the main program flow and position loop, current loop, speed loop process design, and then we build MATLAB model, the simulation results show that the system has good location tracking capabilities, immunity performance and rapid positioning capability.Finally, In ensuring constant power output and reliable operation of the premise, a controller is designed which based on RBF neural network and sliding mode control theory, we use the K-means clustering algorithm and the LMS algorithm to obtain the hidden layer and output layer transfer function of the center right value to the online real-time adjustment parameters to improve system performance by dynamically adaptive control. The simulation results show that the conventional PID pitch control strategy can not obtain satisfactory results, such as speed fluctuations, insufficient follow the pitch, and the controller addresses the issues while also effectively inhibit the pitch angle chattering in the sliding mode control, to achieve stable operation of wind turbine speed and output power constant output, but also to prove that the controller is capable of generating the pitch control to obtain good control effect.
Keywords/Search Tags:wind power, pitch control, Sliding Mode Control, RBF neural network, TMS320F2812, PMSM
PDF Full Text Request
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