利用n次函数数据拟合算法的路面辨识器设计

Road Automatic Identification of a Data Fitting Method Based on the nth Degree Form

行驶路面的实时精准辨识对车辆制动性能具有重要意义。本文基于车辆制动特性的分析提出一种新的基于n次型函数的多维数据高速拟合方法。此方法采用高维n次曲面拟合函数和生成正交信号求内积系数的方法求解拟合参数,并将其应用于路面辨识器的设计。仿真表明,提出的基于n次型函数的多维数据高速拟合方法具有速度快、效率高、鲁棒性强等特性,利用n次型设计的路面辨识器能较精确地识别路面附着系数。

The real-time effective for fast and accurate identifwation of road pavement is important for the braking security of the anti lock braking system （ABS ）Based on the analysis of vehicle braking characteristics, this paper presents a new method of multidimensional data high-speed fitting based on n-type function.This method uses the high-dimensional n-th surface fitting function and the quadrature signal generating inner product coefficient to solve the fitting parameters and applies it to the design of pavement identifier. The simulation results show that the proposed method has the advantages of faster, more efficient and more robust, and the road automatic identification can accurately identify the road tire friction coefftcient.