| ホーム > Bayesian Optimization Approach to Input Shaper Design for Flexible Beam Vibration Suppression |
| Article | |
| Title | Bayesian Optimization Approach to Input Shaper Design for Flexible Beam Vibration Suppression |
| Author(s) | Pásztori, Zsolt (CERN ; Naples U.) ; Ruggiero, Fabio (Naples U.) ; Lippiello, Vincenzo (Naples U.) ; Castro, Mario di (CERN) |
| Publication | 2020 |
| Number of pages | 7 |
| In: | IFAC-PapersOnLine 53 (2020) 9150-9156 |
| In: | 21st IFAC World Congress, Berlin, Germany, 11 - 17 July 2020, pp.9150-9156 |
| DOI | 10.1016/j.ifacol.2020.12.2159 |
| Subject category | Engineering |
| Abstract | This paper tackles the problem of suppressing vibrations of a flexible beam mounted on a mobile robot for inspection purposes. The adopted approach is an input shaper design along with Bayesian optimization. The latter methodology is employed to find out the optimal shaping parameter, taking into account non-ideal behaviors as controller hysteresis and time delays. Experimental results bolster the performance of the proposed approach. |
| Copyright/License | publication: © 2020-2025 The Authors (License: CC-BY-NC-ND-4.0) |