In this article, the nonlinear controller design of a hypothetical air vehicle using model-free adaptive control method is presented. The progress of industries in the last decade leads devices and processes to be more complicated and larger. For that reason one of the main problems of industries is modeling of these devices and processes that most of the industries are using PID controller because of simplicity, no need to any design and low computation. One of the solutions of problems caused by modeling is using data-driven control methods that control systems only with online data of the system is model-free adaptive control. This method has unique features that make it preferable from other data-driven methods like, no need to system identification, online estimation of parameters and condition of the system, simple and adaptive structure, low computation than other online methods and independency from the structure and dynamics of the system. In this article, simulate three forms of this method applied to pitch channel of a hypothetical air vehicle have implement and compared with PID controller. Comparison of The stability of this controller and PID applied with input noise and uncertainties to the system has done and finally for industrialization , system with first order actuator is considered. The obtained results demonstrate that the full form of model-free adaptive control has so much better response than PID.