Modeling and Control of AWOISV: A Filtered Tube-Based MPC Approach for Simultaneous Tracking of Lateral Position and Heading Angle
Xu Yang, Jun Ni, Hengyang Feng, Feiyu Wang, Tiezhen Wang

TL;DR
This paper presents a novel control approach for an all-wheel omni-directional vehicle, enabling precise simultaneous tracking of position and heading angle with robustness and real-time efficiency.
Contribution
It introduces a new dynamic model and a filtered tube-based MPC method for improved control of AWOISV's motion modes and trajectory tracking.
Findings
Effective simultaneous position and heading control demonstrated
Robustness to model uncertainties validated through experiments
High real-time performance achieved in hardware-in-loop tests
Abstract
An all-wheel omni-directional independent steering vehicle (AWOISV) is a specialized all-wheel independent steering vehicle with each wheel capable of steering up to 90{\deg}, enabling unique maneuvers like yaw and diagonal movement. This paper introduces a theoretical steering radius angle and sideslip angle (\( \theta_R \)-\(\beta_R \)) representation, based on the position of the instantaneous center of rotation relative to the wheel rotation center, defining the motion modes and switching criteria for AWOISVs. A generalized \( v\)-\(\beta\)-\(r \) dynamic model is developed with forward velocity \(v\), sideslip angle \(\beta\), and yaw rate \(r\) as states, and \(\theta_R\) and \(\beta_R\) as control inputs. This model decouples longitudinal and lateral motions into forward and rotational motions, allowing seamless transitions across all motion modes under specific conditions. A…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
