SciELO - Scientific Electronic Library Online

vol.20 issue1A Parallel Tool for Numerical Approximation of 3D Electromagnetic Surveys in GeophysicsA Comparative Analysis of Selection Schemes in the Artificial Bee Colony Algorithm author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand




Related links

  • Have no similar articlesSimilars in SciELO


Computación y Sistemas

Print version ISSN 1405-5546


AGUILAR-MEJIA, Omar; TAPIA-OLVERA, Rubén; RIVAS-CAMBERO, Iván  and  MINOR-POPOCATL, Hertwin. Design of a Speed Adaptive Controller for a PMSM using Artificial Intelligence. Comp. y Sist. [online]. 2016, vol.20, n.1, pp.41-54. ISSN 1405-5546.

Permanent magnet synchronous motors have been widely used in variable speed drives; however, the control scheme must ensure high requirements of dynamic performance. In this work, a comparative analysis of a synchronous motor response with four control strategies-conventional proportional integral, sliding mode, fuzzy logic, and neural networks-is exposed. The motor model and the current controller are described; this allows the control laws design. In addition, a nonlinear observer for estimating the rotor speed and load torque is designed. The performance of each driver is analyzed using time simulations where the motor is subjected to disturbances and reference changes. The proposed control technique using neural networks exhibits the best performance because it can adapt to every condition, demanding low computational effort for an online operation and considering the system nonlinearities.

Keywords : PMSM; fuzzy logic; sliding mode; neural network.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )