舱室噪声主动控制系统布放优化与试验研究
Optimal placement and experimental study on active noise control system in the cabin
-
摘要: 直升机舱室噪声对舱内的环境舒适度和安全性有极大的负面影响。针对应用于舱室噪声主动控制系统的电声器件布放问题,本文基于带精英策略的非支配排序遗传算法,对舱室封闭空间声场进行空间离散化处理,进一步将电声器件数量寻优、位置寻优,次级声源发声强度寻优问题转化为组合优化问题,以测点处声压平方和最小为控制目标,将多目标进化算法与主动控制方法相结合,对系统的电声器件布放进行寻优求解。综合考虑降噪系统的复杂性与可行性以及舱室内部空间的有限性,选择控制系统次级声源与误差传声器为4通道配置。独立多次重复运行寻优程序,统计出电声器件最常出现的位置,并在此基础上进行了计算机仿真。最后在实际模拟舱室中开展了试验,结果表明:寻优结果可使舱内人员坐姿头部高度处降噪量最高达到24.9 dB,全局降噪量达到19.4 dB。Abstract: Helicopter cabin noise negatively impacts cabin environmental comfort and safety. In this paper, non-dominated sorting genetic algorithm Ⅱ is used to solve the electro-acoustic device placement problem of the active control system applied in the cabin. An appropriate spatial discretization of the sound field of the confined space is preformed, and then the electro-acoustic devices placement optimization problem, quantity optimization problem, and secondary source sound intensity optimization problem are further transformed into a combinatorial optimization problem. Taking the minimun value of the sum of the squares of the acoustic pressures at the measurement points as the control objective, the multi-objective optimization algorithm combined with the active control algorithm is adopted to solve the optimal placement of electroacoustic devices in the system. Considering the noise control system’s complexity and feasibility and limited space inside the cabin, the control system’s secondary sound sources and error sensors are selected as a 4-channel configuration. The optimization program is repeated several times independently, and the most frequently occurring positions of electroacoustic devices are counted, based on which computer simulation and experiment are conducted, and the results show that the optimization results can make the noise reduction at the height of the head of the cabin personnel in the sitting position reach up to 24.9 dB, and the global noise reduction reaches 19.4 dB.