通过自适应式操纵可变形的尾随边 (DTEF) 积极减轻叶片的疲劳压力
Srinivasa Sudharsan Govindan1, Karthikeyan Natarajan2, Gaurav Saini3
1Assistant Manager Development, TVS sensing Solutions, Madurai, 625122, Tamil Nadu, India.
Environmental science and pollution research international
|December 15, 2023
概括
带有可变形尾行边 (DTEF) 的智能转子提高了风力轮机的性能. 像MPC和MRAC这样的先进控制器显著降低了疲劳压力,并改善了缓冲,优化了能量捕获.
科学领域:
- 工程 工程师 工程师 工程师
- 可再生能源系统可再生能源系统
- 空气动力学 航空动力学
背景情况:
- 风力轮机正在以"智能转子"技术发展,用于智能主动流量控制.
- 可变形尾行边 (DTEF) 提供定制的主动负载控制,取代了传统的叶片俯冲调动,节省了能源.
研究的目的:
- 分析先进的控制策略,以优化智能转子中的DTEF性能.
- 评估模型预测控制 (MPC),自适应MRAC控制和DQ控制器对角调节的有效性.
主要方法:
- 基于LiDAR的风预测数据被用来帮助控制策略.
- 使用NREL的5MWFAST风力轮机模型与MATLAB接口进行性能分析.
- 使用MLIFE软件,通过功率分析曲线和组件疲劳寿命分析验证了控制策略.
主要成果:
- 该MRAC控制器减少了40%的疲劳压力.
- 与典型的反控制器相比,MPC控制器的阻尼效率提高了70%.
- 激光雷达集成可激活操纵片角度,以改善控制.
结论:
- 先进的控制策略,特别是MPC和MRAC,通过减少疲劳和改善阻尼,显著提高智能转子的性能.
- 与基于LiDAR的预览和先进控制器集成的DTEF代表了风能优化的一个有希望的进步.
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