A robust control strategy using the second-order integral sliding mode control(SOISMC)based on the variable speed grey wolf optimization(VGWO)is proposed.The aim is to maximize the wind power extraction of wind turbin...A robust control strategy using the second-order integral sliding mode control(SOISMC)based on the variable speed grey wolf optimization(VGWO)is proposed.The aim is to maximize the wind power extraction of wind turbine.Firstly,according to the uncertainty model of wind turbine,a SOISMC torque controller with fast convergence speed,strong robustness and effective chattering reduction is designed,which ensures that the torque controller can effectively track the reference speed.Secondly,given the strong local search ability of the grey wolf optimization(GWO)and the fast convergence speed and strong global search ability of the particle swarm optimization(PSO),the speed component of PSO is introduced into GWO,and VGWO with fast convergence speed,high solution accuracy and strong global search ability is used to optimize the parameters of wind turbine torque controller.Finally,the simulation is implemented based on Simulink/SimPowerSystem.The results demonstrate the effectiveness of the proposed strategy under both external disturbance and model uncertainty.展开更多
随着大数据时代的到来,信息过载的问题越来越严重,传统的电子阅读器不能帮助用户解决难以从文本中快速找出自己需要的信息的问题。针对这种现象,开发一款智能交互电子阅读器,用户可以语音或文本输入自己的问题,阅读器会快速为用户找出答...随着大数据时代的到来,信息过载的问题越来越严重,传统的电子阅读器不能帮助用户解决难以从文本中快速找出自己需要的信息的问题。针对这种现象,开发一款智能交互电子阅读器,用户可以语音或文本输入自己的问题,阅读器会快速为用户找出答案,其中主要研究内容包括语音识别和语音生成的实现,基于LCS(Longest Common Subsequence)算法与LSTM(Long Short-Term Memory)算法的精准答案搜索功能,最后将算法集成到树莓派中,构建一款智能交互电子阅读器。展开更多
基金This work was supported by the National Natural Science Foundation of China(No.51876089)the Fundamental Research Funds for the Central Universities(No.kfjj20190205).
文摘A robust control strategy using the second-order integral sliding mode control(SOISMC)based on the variable speed grey wolf optimization(VGWO)is proposed.The aim is to maximize the wind power extraction of wind turbine.Firstly,according to the uncertainty model of wind turbine,a SOISMC torque controller with fast convergence speed,strong robustness and effective chattering reduction is designed,which ensures that the torque controller can effectively track the reference speed.Secondly,given the strong local search ability of the grey wolf optimization(GWO)and the fast convergence speed and strong global search ability of the particle swarm optimization(PSO),the speed component of PSO is introduced into GWO,and VGWO with fast convergence speed,high solution accuracy and strong global search ability is used to optimize the parameters of wind turbine torque controller.Finally,the simulation is implemented based on Simulink/SimPowerSystem.The results demonstrate the effectiveness of the proposed strategy under both external disturbance and model uncertainty.
文摘随着大数据时代的到来,信息过载的问题越来越严重,传统的电子阅读器不能帮助用户解决难以从文本中快速找出自己需要的信息的问题。针对这种现象,开发一款智能交互电子阅读器,用户可以语音或文本输入自己的问题,阅读器会快速为用户找出答案,其中主要研究内容包括语音识别和语音生成的实现,基于LCS(Longest Common Subsequence)算法与LSTM(Long Short-Term Memory)算法的精准答案搜索功能,最后将算法集成到树莓派中,构建一款智能交互电子阅读器。
