The rotor side converter of DFIG with stator flux-oriented vector control was presented with the mathematical model created and the control structure analyzed. The neural networks internal model control was proposed in this control system which composed of NNC and NNM, the NNC was the inverse model of neural networks, which serve as controller, NNM was the positive model of neural networks, the control feature was verified with simulation.

Based on two-degrees-of-freedom (2-DOFs) quarter-car semi-active suspension model, a method for semi-active suspension control is proposed based on immune algorithm. According to this algorithm, an immune controller is designed to research and simulation for semi-active suspension control. Simulation results show that the proposed algorithm is effective，and compared with the passive suspension and fuzzy logic control (FLC) algorithm, its control capability is the best. Using immune controller, the RMS of body vertical acceleration, tire loads and suspension distortion are significantly reduced, so vehicle ride performance, handling stability are effectively improved.

In order to improve the vehicles steering performance, based on a whole vehicle dynamics model，the electric power steering system(EPS) control strategy is studied under road surface impact condition. An AIS controller is executed on the output current of assist motor hence further improving control effects. Accompanied the methodology of combining the full vehicle model in CarSim and EPS model in MATLAB, this co-simulation model is verified by test data. By comparison yaw rate and slip angle of the results show that: implementing the control of EPS by AIS compensation strategy is an effective way of enhancing the capability of steering and the stability of operation, which can make it more accurate and flexible.

PI control strategy was introduced into rotor side converter of DFIG control with the mathematical models and the structure of stator flux-oriented vector control. As the main problem of conventional PID controller with parameters fixed in the whole control process, and influence of three PID control parameters can not be distinguished between different stages, so, the adaptive fuzzy PID control was introduced into RSC control system. The parameters were tuned by adaptive fuzzy control, the design of membership was designed and the control feature was verified with simulation.