Relative Study of Intelligent Control Techniques to Maintain Variable Pitch-Angle of the Wind Turbine

V. Khatavkar, Snehal Andhale, Panchshila Pillewar, Utkarsh Alset
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Abstract

The wind turbine requires a robust and time-responsive system to control the pitch–angle (Pit–Ang) of the mechanical actuator. If the response of speed is very efficient then, the controller can act according to the prescribed logic and its mechanical mechanism can work faster with its response time. In this paper, real-time Data from IMD (Indian Meteorological Department) is used for the relative study of the model of wind turbine created in MATLAB / Simulink® environment using Fuzzy Logic Toolbox™. The principle of wind turbine used here is to supply a controlled input to the system and after synthesis, these rules in the form of signal are transferred to the plant which has a drive train and pitch actuator. The output responses of the proposed controller are compared amongst proportional– integral–derivative (PID), fuzzy, and adaptive fuzzy–PID Controllers. The simulation results seen between the adaptive fuzzy– based PID controller surpasses the expected results by Tr = 95.454%, Ts = 61.409% and negligible overshoot as compared to open–looped and conventional responsive controller.
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风电机组变俯仰角智能控制技术的相关研究
风力发电机需要一个鲁棒和时间响应系统来控制机械驱动器的俯仰角(Pit-Ang)。如果速度响应非常有效,则控制器可以按照规定的逻辑行动,其机械机构可以根据其响应时间更快地工作。本文利用IMD (Indian Meteorological Department)的实时数据,利用Fuzzy Logic Toolbox™对MATLAB / Simulink®环境下创建的风力机模型进行了相关研究。这里使用的风力发电机的原理是为系统提供一个受控输入,经过综合,这些规则以信号的形式传递给具有传动系和俯仰执行器的装置。比较了比例-积分-导数(PID)、模糊和自适应模糊PID控制器的输出响应。仿真结果表明,与开环和常规响应控制器相比,基于自适应模糊的PID控制器的Tr = 95.454%, Ts = 61.409%优于预期结果,超调可以忽略不计。
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