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基于FFT的直驱式波浪发电系统功率优化控制
引用本文:黄宝洲,杨俊华,沈辉,叶剑杲,黄俊豪.基于FFT的直驱式波浪发电系统功率优化控制[J].太阳能学报,2021(3):206-213.
作者姓名:黄宝洲  杨俊华  沈辉  叶剑杲  黄俊豪
作者单位:广东工业大学自动化学院;国家电网河南省电力公司检修公司
基金项目:国家自然科学基金(51377026);广东省科技计划(2016B090912006);广东省自然科学基金(2015A030313487);广东省教育部产学研合作专项资金(2013B090500089)。
摘    要:针对实际波浪的不规则性、扰动性以及滑模变结构控制中存在明显抖振和开关动作产生高频纹波问题,采用快速傅里叶变换对波浪激励力进行频谱分析。通过矢量叠加原理构造最大波浪能捕获策略,建立直驱式波浪发电系统模型。采用自适应快速终端滑模变结构控制方法实现最优功率状态跟踪控制,提高抗干扰性和实现限时收敛,同时利用卡尔曼滤波滤除纹波和减少抖振,结合Lyapunov函数分析系统稳定性。仿真结果表明,快速傅里叶变换(FFT)可满足未知不规则波浪的功率最优跟踪要求,所提滑模控制方法可实现快速跟踪,准确跟随,鲁棒性强。

关 键 词:快速傅里叶变换  波浪能  卡尔曼滤波  最大功率点跟踪  自适应快速终端滑模变

POWER OPTIMIZATION CONTROL OF DIRECT DRIVE WAVE POWER SYSTEM BASED ON FFT
Huang Baozhou,Yang Junhua,Shen Hui,Ye Jian’gao,Huang Junhao.POWER OPTIMIZATION CONTROL OF DIRECT DRIVE WAVE POWER SYSTEM BASED ON FFT[J].Acta Energiae Solaris Sinica,2021(3):206-213.
Authors:Huang Baozhou  Yang Junhua  Shen Hui  Ye Jian’gao  Huang Junhao
Affiliation:(School of Automation,Guangdong University of Technology,Guangzhou 510006,China;State Grid Henan Electric Power Company Maintenance Company,Zhengzhou 450004,China)
Abstract:Aiming at the irregularity,disturbance and actual high-frequency ripple of the chattering and switching action in the control of the actual wave,the fast Fourier transform is used to analyze the wave excitation force. The maximum wave energy capture strategy is constructed by the vector superposition principle,and a direct drive wave power generation system model is established. The adaptive fast terminal sliding mode variable structure control method is used to achieve optimal power state tracking control,improve antiinterference and achieve time-limited convergence. At the same time,Kalman filter is used to filter ripple and reduce chattering,and Lyapunov function is used to analyze system stability. The simulation results show that the fast Fourier transform can meet the power optimal tracking requirements of unknown irregular waves. The proposed sliding mode control method can achieve fast tracking,accurate follow-up and strong robustness.
Keywords:fast Fourier transforms(FFT)  wave power  Kalman filters  maximum power point trackers  adaptive fast terminal sliding mode change
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