ABSTRACT
All the presented control schemes are based on a doubly fed induction generator (DFIG) mathematical model. The controllers designed in Section 4.1 present an external disturbance robustness; however, the ones developed in Section 4.2 do not have this feature. Additionally, all these controllers are designed with the assumption that all parameters are known. In general, this assumption is not fulfilled in practice. Hence, in order to consider time-varying parameter robustness and external disturbances, in this chapter a recurrent high-order neural network (RHONN) is used to identify the DFIG and DC Link mathematical model; after that, based on this neural model, a block control scheme using sliding modes and the inverse optimal control scheme are utilized to obtain the control law along the same way as in Section 4.1 and 4.2, respectively.
