In order to get rid of the direct torque control system bigger pulse torque issue, it invents an electric power driven assistant steering system based on intelligence control, introducing fuzzy neural network into the electric driven torque control, not relying on the controlled precision model, with the established fuzzy strategy being able to get rid of the nonlinear strong coupling defects of the fuzzy strategy, with better self learning, parameter automatic control and adjustment, improved system self adaptation abilities. The controller is made of MCU, PWM, and the power source module, with torque, velocity, and driven locomotive feedback current as the input language variable, through offline model construction, it forms control strategy and on line control, realizing electric assisted steering intelligent control. It applies to sedans, fuel cars, locomotives, with agile and light weight, greatly improved in operation comfort and stability.