Limited-Position Set Model-Reference AdaptiveObserver for Control of DFIGs withoutMechanical Sensors

Operations of the doubly-fed induction generators (DFIGs) without mechanical sensorsare highly desirable in order to enhance the reliability of the wind generation systems. This articleproposes a limited-position set model-reference adaptive observer (LPS-MRAO) for control of DFIGsin wind turbine systems (WTSs) without mechanical sensors, i.e., without incremental encoders orspeed transducers. The concept of of the developed LPS-MRAO is obtained from the finite-set modelpredictive control (FS-MPC). In the proposed LPS-MRAO, an algorithm is presented in order to give aconstant number of angles for the rotor position of the DFIG. By using these angles, a certain numberof rotor currents can be predicted. Then, a new quality function is defined to find the best angleof the rotor. In the proposed LPS-MRAO, there are not any gains to tune like the classical MRAO,where a proportional-integral is used and must be tuned. Finally, the proposed LPS-MRAO andclassical one are experimentally implemented in the laboratory and compared at various operationscenarios and under mismatches in the parameters of the DFIG. The experimental results illustratedthat the estimation performance and robustness of the proposed LPS-MRAO are better than those ofthe classical one.     «

Operations of the doubly-fed induction generators (DFIGs) without mechanical sensorsare highly desirable in order to enhance the reliability of the wind generation systems. This articleproposes a limited-position set model-reference adaptive observer (LPS-MRAO) for control of DFIGsin wind turbine systems (WTSs) without mechanical sensors, i.e., without incremental encoders orspeed transducers. The concept of of the developed LPS-MRAO is obtained from the finite-set modelpredictive control (FS-MP...     »