首页> 外文会议>International Conference on Renewable Energy Research and Applications >Power output maximization for wave power generation plants using an adaptive sliding mode control
【24h】

Power output maximization for wave power generation plants using an adaptive sliding mode control

机译:使用自适应滑模控制的波能发电厂最大功率输出

获取原文

摘要

Modern wave power generation plants are capable to work in variable speed operations. These wave power generation plants are provided with adjustable speed generators, like the double feed induction generator. One of the main advantage of adjustable speed generators is that they improve the system efficiency compared to fixed speed generators, because turbine speed can be adjusted as a function of the flow coefficient to maximize the output power. However these systems requires a suitable speed controller in order to track the optimal turbine reference speed. In this work, a sliding mode control for variable speed wave power generation plants is proposed. The proposed sliding-mode control law incorporates an adaptive switching gain, which avoids having to calculate an upper limit of the system uncertainties that is necessary in the traditional sliding-mode control laws. The stability analysis of the proposed controller is provided under disturbances and parameter uncertainties by using the Lyapunov stability theory. Finally simulated results show, on the one hand that the proposed controller provides high-performance dynamic characteristics, and on the other hand that this scheme is robust with respect to the uncertainties that usually appear in the real systems.
机译:现代波浪发电厂能够以变速运行。这些波浪发电设备配备有可调速发电机,例如双馈感应发电机。可调速发电机的主要优点之一是,与定速发电机相比,它们提高了系统效率,因为可以根据流量系数调节涡轮转速,以最大程度地提高输出功率。但是,这些系统需要合适的速度控制器,以便跟踪最佳涡轮参考速度。在这项工作中,提出了一种用于变速波发电设备的滑模控制。所提出的滑模控制定律结合了自适应开关增益,避免了必须计算传统滑模控制定律所必需的系统不确定性上限。利用李雅普诺夫稳定性理论,在干扰和参数不确定性的条件下,对所提出的控制器进行了稳定性分析。最后的仿真结果表明,一方面,该控制器提供了高性能的动态特性,另一方面,该方案对于实际系统中通常出现的不确定性具有鲁棒性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号