With the grid connected operation of large-scale doubly fed induction generators (DFIGs), the nonlinear, impulsive, and unbalanced characteristics during operation will cause cascading faults that cause DFIGs to operate off the grid. However, current research on DFIG parameter identification mainly focuses on transient analysis and control strategy formulation based on a single voltage surge, and single voltage surge research is difficult to characterize the applicability of control parameter identification. This paper proposes a parameter identification method for doubly fed induction generator rotor controllers based on the Improved Multi Objective Lichtenberg Algorithm (IMOLA) to address this issue. A electromechanical transient model of doubly fed wind turbines was constructed using the BPA platform, and the main control modes during steady-state operation and cascading fault voltage ride through period were determined. The measured data of voltage, active power, reactive power, etc. were input into the identification model, and the control parameters were identified based on the IMOLA algorithm. The effectiveness and practicality of the proposed method were verified by comparing the simulation data with the measured data. The results show that compared to traditional methods, the proposed IMOLA identification method can effectively improve the identification accuracy of model control parameters.