Abstarct: Abstract In this thesis, along with a brief descxription of the types of compressed natural gas refueling stations, the hardware used and the operation process of each of them in the fuel supply process, mathematical modeling of the various components of a fast-type compressed natural gas station is presented. Then, baxsed on this mathematical modeling, the operation process of the station from the stage of city gas compression to the stage of supply to consumers is simulated in MATLAB software. One of the challenges during the operation of the fueling station is the multiple and consecutive switching on and off of the compressor, which leads to the occurrence of mechanical and electrical losses in the station's equipment, which causes heavy economic and financial costs for owners of this type of fuel. The turning on of the compressor is related to the operation of compensating the reduced fuel mass of the storage bank and charging these banks, and the turning off of the compressor is related to the pressure of the storage bank reaching the desired standard range. Therefore, in order to solve the existing challenge, changing the working procedure of the compressor from the on-off operation mode to the continuous operation mode is on the agenda. In order to better adapt the present work in this thesis to the actual existing conditions, a process control valve is considered at the output of the compressor, and its performance is controlled by the amount of opening of the valve using a fuzzy intelligent controller. For this purpose, a two-level controller is designed and implemented to control the compressor load, in the first level of which Takagi-Sugno type one fuzzy controller is used, and baxsed on its input quantities, which is the pressure difference between the output of the compressor and the station storage tanks and the density of the referring vehicles, the compensating mass flow rate of the station storage tanks is determined. Then, in the second level of control, this mass flow is proportional in passing through the process control valve; In this way, the standard control gain is selected at every moment and according to the performance curve of the valve, and it is multiplied by the compensating mass flow rate obtained from the fuzzy controller, and a new compensating mass flow rate is produced. Fuzzy intelligent controller is taught baxsed on training methods baxsed on optimization, during this training, optimal and standard pressure range is tracked. In the end, the curve of changes in pressure and mass flow rate of the reservoir tanks in the state before applying the controller and after applying the controller are compared with each other, and the obtained results show the improvement of the compressed natural gas refueling station performance process after applying the control method and as a result the compressor works continuously.