Position control of PMSM based on augmented Fuzzy Takagi-Sugeno SISO models and LMIs

This paper presents a new methodology for the position and flux control of a permanent magnet synchronous motor (PMSM). SISO Fuzzy Takagi-Sugeno models (TS) of the position and d-axis stator current for PMSM are obtained. However, in despite to other techniques, an integrator is added to the local models of the d-axis stator current and the angular position. This fact reduces the steady-state errors, even considering the variation of the parameters of the motor. On the other hand, the addition of the integrator and the independent position and d-axis stator current models allows more flexibility in the placement of the closed-loop local model poles, in order to control the dynamic behavior of the PMSM. The closed-loop feedback gains are obtained using linear matrix inequalities (LMI) and concepts about D-stability regions. Simulation and experimental results show the benefits of the proposed control strategy.