Control of induction motor using T-S fuzzy based linearization

Control of induction motor is difficult because its nonlinearity and parameter uncertainty. Exact linearization can not be applied to induction motor meanwhile approximate linearization is too complex to calculation and only worked nearby equilibrium points. In this paper, a new linearization algorithm is proposed based on T-S fuzzy theorem, which supplies a series states transformed canonical linear model weighted by memberships. So that induction motor can be controlled efficiently by using linear controller. Because T-S fuzzy theorem is applied, uncertainty of induction motor system can be ignored and a more exact control to induction motor can be designed.