Abstract: Noise control issues are prevalent throughout the entire life cycle of locomotive vehicles, directly affecting both the acoustic quality of the vehicle and human comfort, as well as the physical and mental health of drivers and passengers when noise levels exceed acceptable standards. The single passive noise control is restricted by the properties of structural materials, while active noise control is restricted by algorithmic constraints, resulting in limited noise reduction effectiveness in practical engineering applications. Therefore, this paper introduces the hybrid active and passive noise control based on noise reduction coefficient-disturbance constraint-momentum fractional order FxLMS (NRC-DC-MFFxLMS). The sound absorption characteristics of different noise reduction materials were measured and their absorption coefficients at each frequency were analyzed to calculate the corresponding noise reduction coefficient (NRC) and incorporated into the hybrid active and passive noise control loop. Updating the rolling mean and variance of the error signal, constructing disturbance factor and energy constraint to estimate the current secondary noise state in real time and adaptively adjusting the control step size. The filter weight coefficients are dynamically updated using a momentum fractional order instead of the conventional integer order, thereby optimizing the FxLMS iteration and accurately output the noise suppression signal. The study shows that the proposed hybrid active and passive noise control approach exhibits a greater convergence ability and higher control accuracy compared to traditional approach. Additionally, it effectively enhances the level of noise control across in various noise scenarios.