面向涡桨飞机舱内噪声的多通道主动控制算法改进及实验验证OA

The cabin noise of turboprop aircraft significantly impacts passenger comfort and flight safety,making Active Noise Control(ANC)technology a crucial solution to address noise issues.The Filtered-x Least Mean Square(FxLMS)algorithm stands as the most classical ANC algorithm.However,when extended to multi-channel systems,its computational complexity increases,leading to inadequate real-time performance and limiting its engineering applications.To tackle this challenge,an improved FxLMS algorithm integrating a local iterative mechanism and a logarithmic Sigmoid-type variable step-size strategy is proposed.This algorithm effectively reduces computational burden while maintaining favorable convergence performance.Simulation results validate the enhancement's effectiveness.Subsequently,a multi-channel ANC system is developed based on this algorithm,and a simulated turbo-prop aircraft noise control experimental platform is established.The system achieved over 20 dB noise reduction at the first two orders of the Blade Passing Frequency(BPF)while maintaining robust convergence performance.These findings demonstrate the algorithm's potential for practical engineering applications.