Noise Cancellation of a Train Electric Traction System Fan Based on a Fractional-Order Variable Step Size Active Noise Control Algorithm

To improve the convergence performance of an integer-order active noise control algorithm and achieve the noise cancellation of a train electric traction system fan, in this research, an active noise control algorithm based on a fractional-order variable step size was proposed. This algorithm introduced fractional calculus to control the iteration of the filter weights and to optimize the variable step size in order to improve the algorithm convergence process. The simulation results showed that the algorithm was superior to the conventional algorithm in terms of the performance of the convergence speed, steady-state error, and error attenuation. Consistent with the simulation results, this algorithm showed good performance in the half physical simulation. The results showed that this algorithm had a good noise-cancellation effect on the fan noise of the train electric traction system.