Fuzzy modeling and control of a nonlinear magnetic bearing system Conference Paper uri icon

abstract

  • This paper presents an approach, called fuzzy model based nonlinear fuzzy control, that overcomes position dependent nonlinearity of magnetic bearing systems. We represent the nonlinear magnetic bearing by the Takagi-Sugeno-Kang (TSK) fuzzy model. Based on such models, nonlinear fuzzy controllers can be derived by means of a systematic synthesis approach. Moreover, the stability analysis of the fuzzy control system can be done efficiently by using of Linear Matrix Inequality (LMI) method. Simulation results demonstrate that the proposed fuzzy controller yields not only maximized stability boundary but also better performance than a single operating point linear controller.

author list (cited authors)

  • Hong, S., Langari, R., & Joh, J.

citation count

  • 22

publication date

  • January 1997

publisher