Multi-Strategy Cooperative Optimization for Coupling Interference Mitigation in the Active Control Filter of a Submarine Hydraulic System

To address the performance degradation caused by coupling interference between control and identification filters in the active control of submarine hydraulic systems, a multi-strategy collaborative optimization algorithm based on “Signal–Amplitude–Time” is proposed. The method constructs a variable-power white-noise module based on power factors to reduce auxiliary noise interference. It employs an improved variable-step-size LMS algorithm to achieve fast and high-precision online identification of the secondary path. Furthermore, an adaptive prediction error filter is introduced to decouple the control and identification processes, effectively resolving the conflict between convergence speed and steady-state precision. Simulation and experimental results demonstrate that the proposed optimization algorithm exhibits superior robustness and adaptive capability under various operating conditions. It can track complex load fluctuations in real time and achieve a line-spectrum pulsation attenuation of more than 90%. This multi-strategy collaborative scheme significantly enhances the pulsation suppression accuracy and dynamic response capability of submarine hydraulic systems, providing an efficient and reliable technical approach for the acoustic stealth control of naval ship hydraulic systems.