Nonlinear decoupling method used for wheel force transducers

Abstract

The invention discloses a nonlinear decoupling method used for wheel force transducers. The method includes the following steps: 1, extending transducer input-output linear relation into a nonlinear form according to nonlinear characteristics of a wheel force transducer system and static calibration results; 2, deducing the matrix form of the input-output relation of each channel according to an established quadratic equation set; and 3, obtaining a decoupling matrix according to established matrix relation, and calculating real multi-dimensional wheel force / torque by using the matrix so thatmulti-dimensional signal decoupling can be realized. Through the method, the degree of coupling between measuring channels can be greatly reduced, and obtained force / torque signals can be maximumly approached to real ground-wheel force / torque signals.

Description

technical field [0001] The invention belongs to the technical field of automobile measurement and control, and in particular relates to a nonlinear decoupling method for a wheel force sensor. Background technique [0002] Due to the development of science and technology and the improvement of people's living standards, the automobile industry has increasingly integrated high-tech technologies in a country's industrial system, so the development level of the automobile industry reflects the integrity of the country's industrial system and the level of manufacturing to a certain extent. . China's auto industry has a bright future. In recent years, both auto production and consumption have shown a trend of rapid growth. Data show that the development of my country's automobile industry is gradually reaching its peak, and its total output ranks first in the world. Although my country has made remarkable achievements in terms of production and consumption, the core technology o...

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Problems solved by technology

Due to the strong coupling, nonlinear and time-varying characteristics of the wheel force signal, in order to obtain a ground-wheel force / torque signal that is very close to the real one, the output signal in the calibration experiment of the wheel force sensor must be nonlinearly decoupled, so Conventional linear decoupling methods based on multiple regression models will produce large decoupling errors, while the nonlinear decoupling method based on Artificial Neural Network (ANN) published in CN200910181159.7 patent has significant effects and small errors , but because the algorithm implementation process is too complicated, some chips with simple functions cannot implement ANN, and the ANN algorithm has too high requirements for the number of samples, so the above two algorithms cannot meet the decoupling requirements of the output signal of the wheel force sensor

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