Improvements on robustness of hysteresis-based vector control of DFIG using brain emotional leaning-based intelligent controller (BELBIC)

Hysteresis current controllers, in comparison with PI controllers can be implemented easier and their application has been widely used in vector control of electrical AC drives due to smoothing a small part of computational complexities. In such systems, due to the nature of these controllers, the common PI current controllers used in the cascaded control scheme can be replaced with hysteresis current controllers. Although difficulties pertaining to adjusting the PI gains are omitted, there exist still some problems addressing the hysteresis regulators. One of these issues can be referred to the system behavior under parameter variation. It has been shown that, the transient response of the system deteriorates to a large extent in case of variations of some machine parameters. This Paper presents a method for improving the robustness of a hysteresis based vector control in the DFIG system adding brain emotional learning-based intelligent controllers (BELBIC) into the control shceme. In this regard, the power fluctuations are highly damped in case of variations in machine parameters.