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首页> 外文期刊>International journal of systems science >Continuous-time multi-model predictive control of variable-speed variable-pitch wind turbines
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Continuous-time multi-model predictive control of variable-speed variable-pitch wind turbines

机译:变速变桨风力机的连续时间多模型预测控制

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摘要

The control objective for wind turbine control systems includes maximum power tracking, speed and power regulation and minimisation of mechanical loads. The operating region of a wind turbine is a function of the incoming wind speed and the control objective in each operating region differ significantly from the other. Therefore, a linear controller designed based on a model obtained at one operating point cannot guarantee stability and satisfactory performance across the whole operating regime of the turbine. In this paper, a continuous-time multi-model predictive controller is proposed for variable-speed variable-pitch wind turbine systems. Four controllers were designed using linearised models obtained at 4, 8, 11 and . A Bayesian probability inference function was used to make the transition between these controllers based on the errors between the system outputs and each operating point. Simulation studies based on a benchmark 5MW wind turbine were used to demonstrate the performance of the proposed controller.
机译:风力涡轮机控制系统的控制目标包括最大功率跟踪,速度和功率调节以及机械负载的最小化。风力涡轮机的运行区域是输入风速的函数,并且每个运行区域中的控制目标彼此明显不同。因此,基于在一个工作点获得的模型设计的线性控制器不能保证涡轮机整个工作状态的稳定性和令人满意的性能。本文提出了一种适用于变速变桨风力发电机组的连续时间多模型预测控制器。使用在4,8,11和处获得的线性化模型设计了四个控制器。基于系统输出和每个操作点之间的误差,使用贝叶斯概率推断函数在这些控制器之间进行转换。基于基准5MW风力涡轮机的仿真研究用于证明所提出控制器的性能。

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