Improvement of multi-channel active noise control algorithm for turboprop aircraft cabin

At present，the most widely used control algorithms in the field of active noise control（ANC）are the classical FxLMS algorithm and its improved algorithms，which are applied to noise control in large spaces and areas such as the turboprop aircraft cabin，the amount of algorithmic calculations will be rapidly expanded with the increase in the number of channels of the ANC system，and the real-time requirements of algorithms are difficult to meet. Sequential Partial Update FxLMS（SPU-FxLMS）algorithm effectively solves this problem，but its convergence performance is weaker than that of the FxLMS algorithm. In this paper，the improvements to the SPU-FxLMS algorithm for the problem of slow convergence are made，so that the algorithm can be converged with a faster speed in the early stage of the operation，and then converge with a lower speed after converging to a smooth state. After converging to a steady state，the algorithm continues to run with a low computational capacity. The theoretical derivation and simulation analysis of the improved algorithm are carried out. The results show that the algorithm has good noise reduction performance and robustness while further reducing the amount of computation，and has a good prospect for engineering applications.