Steering angle saturation analysis in PGR under feedback gain switching strategy for car-like robots
This work analyzes the influence of steering angle saturation to the convergent property in the Path-generating Regulator (PGR) under the feedback gain switching strategy for car-like robots. The PGR control method carries out asymptotic convergence to a given path function group. It has been extend...
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The Japan Society of Mechanical Engineers
2014
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oai:doaj.org-article:6981bfe2672e46c19ab3d1cf79dfec002021-11-26T06:09:52ZSteering angle saturation analysis in PGR under feedback gain switching strategy for car-like robots2187-974510.1299/mej.2014dr0037https://doaj.org/article/6981bfe2672e46c19ab3d1cf79dfec002014-08-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/mej/1/4/1_2014dr0037/_pdf/-char/enhttps://doaj.org/toc/2187-9745This work analyzes the influence of steering angle saturation to the convergent property in the Path-generating Regulator (PGR) under the feedback gain switching strategy for car-like robots. The PGR control method carries out asymptotic convergence to a given path function group. It has been extended to car-like robots, and its convergent region has been expanded by the feedback gain switching strategy. However, under this strategy, when the robot restarts after the feedback gain switches, the command of the steering angle tends to be close to ±π/2 rad, which might exceed the maximum steering angle. This phenomenon causes steering angle saturation. The robot then drives along the minimum turning circle. In this paper, the convergent property of the robot under steering angle saturation is investigated first. Results show that the convergent property is related strongly to the number of singular points, which depends on the center location of the minimum turning circle. Then the convergent properties at different locations are clarified through region division. Moreover, an extended feedback gain switching strategy method is proposed to change the convergent property in the specific region. Based on simulation and experiment results, we summarize the convergent property related to the region and verify the proposed method.Jun DAINaohiko HANAJIMAToshiharu KAZAMAAkihiko TAKASHIMAThe Japan Society of Mechanical Engineersarticleconvergent propertysteering angle saturationpgrfeedback gain switchingcar like robotsMechanical engineering and machineryTJ1-1570ENMechanical Engineering Journal, Vol 1, Iss 4, Pp DR0037-DR0037 (2014) |
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convergent property steering angle saturation pgr feedback gain switching car like robots Mechanical engineering and machinery TJ1-1570 |
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convergent property steering angle saturation pgr feedback gain switching car like robots Mechanical engineering and machinery TJ1-1570 Jun DAI Naohiko HANAJIMA Toshiharu KAZAMA Akihiko TAKASHIMA Steering angle saturation analysis in PGR under feedback gain switching strategy for car-like robots |
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This work analyzes the influence of steering angle saturation to the convergent property in the Path-generating Regulator (PGR) under the feedback gain switching strategy for car-like robots. The PGR control method carries out asymptotic convergence to a given path function group. It has been extended to car-like robots, and its convergent region has been expanded by the feedback gain switching strategy. However, under this strategy, when the robot restarts after the feedback gain switches, the command of the steering angle tends to be close to ±π/2 rad, which might exceed the maximum steering angle. This phenomenon causes steering angle saturation. The robot then drives along the minimum turning circle. In this paper, the convergent property of the robot under steering angle saturation is investigated first. Results show that the convergent property is related strongly to the number of singular points, which depends on the center location of the minimum turning circle. Then the convergent properties at different locations are clarified through region division. Moreover, an extended feedback gain switching strategy method is proposed to change the convergent property in the specific region. Based on simulation and experiment results, we summarize the convergent property related to the region and verify the proposed method. |
format |
article |
author |
Jun DAI Naohiko HANAJIMA Toshiharu KAZAMA Akihiko TAKASHIMA |
author_facet |
Jun DAI Naohiko HANAJIMA Toshiharu KAZAMA Akihiko TAKASHIMA |
author_sort |
Jun DAI |
title |
Steering angle saturation analysis in PGR under feedback gain switching strategy for car-like robots |
title_short |
Steering angle saturation analysis in PGR under feedback gain switching strategy for car-like robots |
title_full |
Steering angle saturation analysis in PGR under feedback gain switching strategy for car-like robots |
title_fullStr |
Steering angle saturation analysis in PGR under feedback gain switching strategy for car-like robots |
title_full_unstemmed |
Steering angle saturation analysis in PGR under feedback gain switching strategy for car-like robots |
title_sort |
steering angle saturation analysis in pgr under feedback gain switching strategy for car-like robots |
publisher |
The Japan Society of Mechanical Engineers |
publishDate |
2014 |
url |
https://doaj.org/article/6981bfe2672e46c19ab3d1cf79dfec00 |
work_keys_str_mv |
AT jundai steeringanglesaturationanalysisinpgrunderfeedbackgainswitchingstrategyforcarlikerobots AT naohikohanajima steeringanglesaturationanalysisinpgrunderfeedbackgainswitchingstrategyforcarlikerobots AT toshiharukazama steeringanglesaturationanalysisinpgrunderfeedbackgainswitchingstrategyforcarlikerobots AT akihikotakashima steeringanglesaturationanalysisinpgrunderfeedbackgainswitchingstrategyforcarlikerobots |
_version_ |
1718409781975187456 |