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Particle Filter for Combined Wheel-Slip and Vehicle-Motion Estimation
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- Berntorp, Karl (author)
- Lund University,Lunds universitet,Institutionen för reglerteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Automatic Control,Departments at LTH,Faculty of Engineering, LTH,Mitsubishi Electric Research Laboratory
- (creator_code:org_t)
- 2015
- 2015
- English 6 s.
- In: 2015 American Control Conference (ACC). - 0743-1619 .- 2378-5861. - 9781479917730 - 9781479986842 ; , s. 5414-5419
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- The vehicle-estimation problem is approached by fusing measurements from wheel encoders, an inertial measurement unit, and (optionally) a global positioning system in a Rao-Blackwellized particle filter. In total 14 states are estimated, including key variables in active safety systems, such as longitudinal velocity, roll angle, and wheel slip for all four wheels. The method only relies on kinematic relationships. We present experimental data for one test scenario, using a Volkswagen Golf equipped with state-of-the-art sensors for determining ground truth. We report highly promising results, even for periods of combined aggressive cornering and braking.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Keyword
- particlef filtering
- nonlinear estimation
- wheel slip
- vehicle control
Publication and Content Type
- kon (subject category)
- ref (subject category)
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