【摘要】：提出了一種基于螢火蟲優(yōu)化算法的移動車輛參數(shù)直接識別方法。采用四自由度雙軸十二參數(shù)車輛模型和歐拉梁有限元模型建立了車橋耦合系統(tǒng)的動力方程,并利用Newmark直接積分法求解了系統(tǒng)的動力響應(yīng)。通過引入一種局部搜索策略和末位淘汰機制改進了螢火蟲優(yōu)化算法的收斂速率,并提高了識別結(jié)果的精度。本文方法僅利用車輛振動的豎向加速度響應(yīng)測量就能進行移動車輛參數(shù)的識別。數(shù)值算例表明,改進的螢火蟲優(yōu)化算法可以準確地識別出車輛的質(zhì)量、懸掛剛度和阻尼等參數(shù),并且對測量噪聲不敏感。
[Abstract]:A direct identification method for moving vehicle parameters based on firefly optimization algorithm is proposed. The dynamic equations of the vehicle-bridge coupling system are established by using the two-axis 12-parameter vehicle model with four degrees of freedom and the finite element model of the Euler beam. The dynamic response of the system is solved by Newmark direct integration method. The convergence rate of the firefly optimization algorithm is improved by introducing a local search strategy and the final elimination mechanism, and the accuracy of the recognition results is improved. In this paper, the parameters of moving vehicle can be identified only by measuring the vertical acceleration response of vehicle vibration. Numerical examples show that the improved firefly optimization algorithm can accurately identify the vehicle mass, suspension stiffness and damping parameters, and is not sensitive to measurement noise.
【作者單位】： 中山大學(xué)力學(xué)系;
【基金】：國家自然科學(xué)基金(11172333,11272361)資助項目
【分類號】：U446;TP18
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本文編號：2134899