Research Information System
International Transactions on Electrical Energy Systems, vol.30, no.12, 2020 (SCI-Expanded, Scopus)
Matrix converter has many advantages such as no need for high value filters, capability of bidirectional energy conversion and no need for DC bus. Nevertheless, modulation methods are very difficult and require high computational effort. Therefore, model predictive control method has been implemented to simplify the complexity of this topology. However, the weakness of this control method is using mathematical model and affected by parameter changes due to the external disturbances, frequency and temperature variations. To eliminate the variations of rotor resistance and stator resistance, a reduced-order extended Kalman filter has been implemented as an observer to estimate them resulting from frequency and temperature variations, sensor noise or uncertainties. The algorithm is performed using TMS320F28335 digital signal processor that is a 32-bit floating-point processor operating at 150 MHz. Results obtained from experimental setup are compared with the previous studies and the performance of the proposed method is confirmed.