Robust path following for autonomous vehicles with spatial PH quintic splines
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866916535615881216 |
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| author | Calabrò, Vincenzo Giannelli, Carlotta Sacco, Lorenzo Sestini, Alessandra |
| author_facet | Calabrò, Vincenzo Giannelli, Carlotta Sacco, Lorenzo Sestini, Alessandra |
| contents | The distinctive feature of a polynomial parametric speed let polynomial Pythagorean-hodograph (PH) curves be attractive for the design of accurate and efficient application algorithms. We propose a robust path following scheme for the construction of smooth spatial motions by exploiting PH spline curves. In order to cover a general configuration setting, we present a guidance law which is suitable both for fully-actuated and (more common) under-actuated vehicles, which cannot control all the degrees of freedom. The robustness of the guidance law is enhanced by also taking into account the influence of wind or currents into the equations of motion. A selection of numerical experiments validates the effectiveness of the control strategy when $C^1$ spatial PH quintic interpolants are suitably considered for both kinematic and dynamic simulations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_15693 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Robust path following for autonomous vehicles with spatial PH quintic splines Calabrò, Vincenzo Giannelli, Carlotta Sacco, Lorenzo Sestini, Alessandra Numerical Analysis The distinctive feature of a polynomial parametric speed let polynomial Pythagorean-hodograph (PH) curves be attractive for the design of accurate and efficient application algorithms. We propose a robust path following scheme for the construction of smooth spatial motions by exploiting PH spline curves. In order to cover a general configuration setting, we present a guidance law which is suitable both for fully-actuated and (more common) under-actuated vehicles, which cannot control all the degrees of freedom. The robustness of the guidance law is enhanced by also taking into account the influence of wind or currents into the equations of motion. A selection of numerical experiments validates the effectiveness of the control strategy when $C^1$ spatial PH quintic interpolants are suitably considered for both kinematic and dynamic simulations. |
| title | Robust path following for autonomous vehicles with spatial PH quintic splines |
| topic | Numerical Analysis |
| url | https://arxiv.org/abs/2412.15693 |