桂林理工大学学报Issue(2)：350-354,5.DOI:10.3969/j.issn.1674-9057.2014.02.024
神经网络-滑模控制在STATCO M系统中的应用
Application of GA optimized RBF network-sliding model controller for AC servo system
摘要
Abstract
The STATCOM reactive compensation based on voltage fluctuations and flicker of AC system is stud-ied.The mathematical model of STATCOM in the d-q coordinate system is established and the neural network-sliding mode control based direct current control method proposed.In this new control system,the sliding mode control is applied to the outer voltage loop and the neural network-sliding mode controls employee for the inner current loop.By doing so,the lack of addictiveness of PID controller can be overcome.The numerical simulation model is established to evaluate and validate the proposed control method.The analysis shows that the proposed controller is effective for the AC system control under severe disturbance,and STATCOM can quickly compensate the voltage fluctuations and flicker.Additionally,the control performance of the proposed method is superior to the PID controller.关键词
交流系统/STATCOM/神经网络/滑模控制Key words
AC system/STATCOM/neural network/sliding model control分类
信息技术与安全科学引用本文复制引用
李海侠..神经网络-滑模控制在STATCO M系统中的应用[J].桂林理工大学学报,2014,(2):350-354,5.基金项目
广西自然科学基金项目（2011GXNSFA018022）；广西汽车零部件与整车技术重点实验室开放基金项目（2013KFMS03）；广西矿冶与环境科学实验中心项目（KH2012ZD007）；广西教育厅科研项目 （）
