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Research Papers

Identification of Ground Vehicle Steering System Backlash

[+] Author and Article Information
Xiaoyu Huang

e-mail: huang.638@osu.edu

Junmin Wang

e-mail: wang.1381@osu.edu
Department of Mechanical and
Aerospace Engineering,
The Ohio State University,
Columbus, OH 43210

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received August 14, 2011; final manuscript received June 25, 2012; published online November 7, 2012. Assoc. Editor: Eugenio Schuster.

J. Dyn. Sys., Meas., Control 135(1), 011014 (Nov 07, 2012) (8 pages) Paper No: DS-11-1255; doi: 10.1115/1.4007558 History: Received August 14, 2011; Revised June 25, 2012

This paper presents an identification method for the backlash embedded in ground vehicle steering systems. A backlash model relates the steering system output—road-wheel steering angle (RWSA) to the input—hand-wheel steering angle (HWSA). An accurate backlash model is helpful in achieving a better control performance or a more precise reference model for vehicle dynamic control. The proposed identification procedure consists of two parts. First, the unmeasurable RWSA is estimated by manipulating equations of a two degrees-of-freedom vehicle lateral dynamics model, where the signals related to the vehicle motion are obtained from an inertial measurement unit and global positioning system, and the estimation problem is transformed to solving an algebraic equation by optimization tools. Second, by applying a recursive general identification algorithm, parameters that characterize the steering system backlash model are identified recursively from the reconstructed RWSA and measured HWSA. Vehicle road tests have been carried out and the experimental results show effectiveness of the proposed identification method. The developed algorithm can be applied both on-line and off-line, and its on-line implementation process is also presented.

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References

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Figures

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Fig. 1

Overall structure of BLID problem

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Fig. 2

2-DOF bicycle model

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Fig. 4

On-line implementation of BLID method

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Fig. 5

Experimental vehicle platform

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Fig. 6

Static measurement of steering system backlash

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Fig. 7

Static measurement results

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Fig. 10

Estimated intersections

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Fig. 11

Mapping of RWSA and HWSA

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Fig. 12

Experimental validation under continuous double lane-change

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Fig. 13

Experimental validation under random steering

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