基于模型分析的液压伺服系统性能参数预测

为了提高液压伺服系统的控制精度,文章对液压伺服系统中的一些非线性参数进行了预测与估计。参数估计之前,首先对目标液压工作系统进行了建模与参数化描述,抽取了其控制和工作模型,计算并推导了模型中主要的液压参数直接的数学关系,如液压受力分析、受力传递函数、噪声信号过滤函数等。在此基础上,采用最小二乘估计算法对液压伺服系统中的非线性参数进行预测,给出了详细的参数分析过程和预测参数推导过程,建立了主要参数的估计计算公式。最后,对所估计的非线性参数进行了仿真和测试。结果表明,文章所选择的参数预测结果与实际的运行结果基本吻合,预测算法参数估计误差小。

Parameter Forecast of Hydraulic Servo-system Based on Model Analysis

In order to increase hydraulic servo＇s control precision,the article forecasts and estimates hydraulic servo＇s some misalignment parameter.Before the estimations,it described the modeling and the parameterizations of the hydraulic pressure working system,and extracted its control and the working model,and calculated and inferred the main direct mathematical relation of hydraulic pressure parameter in the model,including the hydraulic pressure stress analysis,stress transfer function,noise signal filtration function and so on.Based on this,it uses least square method to forecast hydraulic servo＇s misalignment parameter,and shows the detailed parametric analyzing process and the forecast of parameter inferential reasoning process.In this case,the main parameter estimate formula is established.Finally,the article emulates and tests the misalignment parameter.The result indicates that the parameter forecasting result chosen by the article and the actual movement result match basically.And the forecast error of the algorithm parameter estimation is very small.