Filtered-x least mean square ( Fx-LMS) algorithm is popular in many adaptive processes. As its contradiction between convergence speed and stead-state error, the improvements of Fx-LMS algo-rithm with variable step size ( VSS) have been developed. To strengthen the robustness of variable step size least mean square ( VSSLMS ) algorithms to noise disturbance in active vibration control ( AVC) application, nine VSSLMS algorithms are introduced in detail. Then an improved VSSLMS algorithm is proposed for better performance. At last, the performance of these VSSLMS algorithms are compared in AVC experimental system with different noise level. The experimental results veri-fies the effectiveness and robustness of the proposed VSSLMS algorithm in AVC application.