【摘要】 准确测量液压系统声速对于液压系统的性能预测和优化具有重要意义。在液压系统中，声速值会随液压系统状态发生变化，现有的方法难以准确测量动态系统中的声速值。针对上述问题，提出一种刚性管路油液声速双向递进搜索算法。首先，基于压力波在管道中的传播性质推导出声速计算模型；其次，优化数据处理方法，并结合改进的双向递进搜索算法实现声速的高精度求解；再者，通过压力波动试验台测量不同工况下的压力波动；最后，对比不同方法的声速计算结果，验证了该方法的准确性。试验结果表明，提出的新方法在不同试验工况下的计算精度均优于现有方法，计算所得声速值整体精度提升4.5%;特别是在15 MPa和二次源强干扰的状态下，该方法的计算精度提升更为显著，最高可达7.8%。上述结果说明，提出的方法具备更高的准确性与更强的适用性。更多还原

【Abstract】 Accurate measurement of the speed of sound in hydraulic systems is essential for performance prediction and optimization. However, since the speed of sound is sensitive to the system state, conventional methods often fail to provide reliable measurements under varying conditions. To address these challenges, we propose a novel bidirectional progressive search algorithm for calculating the speed of sound in rigid pipelines. First, we establish a physical model of sound speed based on the pressure wave’s propagation characteristics in pipelines. Next, data processing techniques are optimized, and a high-precision calculation is achieved through an improved bidirectional search algorithm. Pressure fluctuations under different operating conditions are measured using a dedicated experimental setup. We validate the accuracy of the proposed method by comparison with conventional approaches. The experimental results show that the proposed method significantly outperforms existing techniques in terms of computational accuracy across a range of conditions, with an average improvement of 4.5% in the calculated speed of sound. Notably, under a pressure of 15 MPa and in turbulent flow conditions with secondary source interference, the improvement reaches up to 7.8%. These findings demonstrate that the proposed approach can offer higher accuracy and broader applicability in dynamic hydraulic environments.更多还原