Article citationsMore>>

W. Chen and J. Wu, “Adaptive Control of ASVG by Using Diagonal Recurrent Neural Network,” Automation of Electric Power Systems, Vol. 23, No. 9, 1999, pp. 33-37

has been cited by the following article:

• TITLE: A Control Method for SVG Based on Differential Geometry Nonlinear Control

  AUTHORS: Qiyong Pan, Jin Wu, Yi-huai Wang, Jingfei Ni, Shan Zhong

  KEYWORDS: Mathematic Model, Nonlinear, Differential Geometry, Control

  JOURNAL NAME: Energy and Power Engineering, Vol.3 No.3, July 27, 2011

  ABSTRACT: The control method for SVG is researched in this paper. Based on the working mechanism of SVG, the logic switch function is introduced to establish the dynamic mathematic model. A differential geometry variable control method is provided and the differential geometry linear theory is used to convert the nonlinear system to a linear system. Then based on the former work the control of SVG is devised. Finally, the control of SVG is simulated and the result shows the differential geometry nonlinear control is robust and stable comparative to the traditional PID control method and it is an effective to control the SVG.