Abstract: In recent years, the researchers pay more attentions on the performance of active noise control (ANC) algorithms. Compared with the FxLMS and FxRLS algorithms, the Kalman filtering algorithm enjoys a faster convergence speed, a better tracking performance and a better noise reduction capability for broadband noise. In this paper, the FxKalman active controller is designed and simulated, and for single-frequency, narrowband and broadband signals, the active noise control performances of FxKalman algorithm, FxLMS algorithm and FxRLS algorithm are compared in the enclosed-space of the laboratory. Finally, the above-mentioned advantages of FxKalman active controller are proved. However, in the case that the primary noise is a single-frequency signal and the demand for convergence rate of the algorithm is not high, the FxLMS algorithm is the most economical and secure. The FxKalman algorithm is the best choice for broadband noise control or for high convergence speed demand.