Trajectory Tracking for High-Performance Autonomous Vehicles with Real-Time Model Predictive Control
- 提供方法
- 他サイトにて提供・販売
- 入手方法の確認はこちら
- 文献・情報種別
- AVEC
- 掲載ページ
- 8-14(Total 7 p)
- 発行年月
- 2024年 9月
- 出版社
- その他・不明
- 言語
- 英語
- イベント
- AVEC '24
書誌事項
| 著者(英) | 1) Matteo Pierini, 2) Paolo Fusco, 3) Rodrigo Senofieni, 4) Matteo Corno, 5) Giulio Panzani, 6) Sergio Matteo Savaresi |
|---|---|
| 勤務先(英) | 1) Politecnico di Milano, 2) Politecnico di Milano, 3) Politecnico di Milano, 4) Politecnico di Milano, 5) Politecnico di Milano, 6) Politecnico di Milano |
| 抄録(英) | This work is the development of a Model Predictive Controller (MPC) for the integrated control of lateral and longitudinal dynamics of a high-performance autonomous car, which follows a given trajectory on a racetrack. The MPC model is based on an Affine-Force-Input single-track nonlinear bicycle model that accounts for actuation dynamics and delays. The MPC problem is formulated as a quadratic problem, enabling efficient real-time solution with a specific quadratic programming (QP) solver. The controller is implemented in C++ and tested in a real-time hardware-in-the-loop (HIL) simulator, showing excellent tracking performance up to 280 km/h. 翻訳 |