The robustness of the secondary path of the noise from the adaptive notch filters for the multi-channel vehicle is investigated. First， the mathematical model of the system is established， and the convergence rate and the error gained at the steady state are defined to evaluate the system’s ability in reducing noise. Then， the secondary path robustness of the system， including the boundary conditions of mismatching， are derived， simulated， and verified by experiments. The results show that the change of secondary path doesn’t work for the steady-state error， but influences the convergence either positively or negatively. Based on these rules， the robustness is improved by increasing the convergence rate of the system through the optimization of the secondary path. Furthermore， the suppression of the feedback and leakage algorithm on the secondary path robustness of the system is proposed and analyzed.