paper-with-me

Papers

Modelling and Dynamic Tracking Control of Industrial Vehicles with Tractor-trailer Structure

2019-09-26

Existing works on control of tractor-trailers systems only consider the kinematics model without taking dynamics into account. Also, most of them treat the issue as a pure control theory problem whose solutions are difficult to implement. This paper presents a trajectory tracking control approach for a full-scale industrial tractor-trailers vehicle composed of a car-like tractor and arbitrary number of passive full trailers. To deal with dynamic effects of trailing units, a force sensor is innovatively installed at the connection between the tractor and the first trailer to measure the forces acting on the tractor. The tractor's dynamic model that explicitly accounts for the measured forces is derived. A tracking controller that compensates the pulling/pushing forces in real time and simultaneously drives the system onto desired trajectories is proposed. The propulsion map between throttle opening and the propulsion force is proposed to be modeled with a fifth-order polynomial. The parameters are estimated by fitting experimental data, in order to provide accurate driving force. Stability of the control algorithm is rigorously proved by Lyapunov methods. Experiments of full-size vehicles are conducted to validate the performance of the control approach.

📄 PDF Abstract BibTeX arXiv:1909.11897

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Development of a Testbed for Autonomous Vehicles: Integrating MPC Control with Monocular Camera Lane Detection

2025-11-24 · Shantanu Rahman, Nayeb Hasin, Mainul Islam, Golam Sarowar arxiv

Autonomous vehicles are becoming popular day by day not only for autonomous road traversal but also for industrial automation, farming and military. Most of the standard vehicles follow the Ackermann style steering mecha…

Autonomous VehiclesLane Detection

Incorporating ESO into Deep Koopman Operator Modelling for Control of Autonomous Vehicles

2024-05-16 · Hao Chen, Chen Lv

Koopman operator theory is a kind of data-driven modelling approach that accurately captures the nonlinearities of mechatronic systems such as vehicles against physics-based methods. However, the infinite-dimensional Koo…

Autonomous VehiclesModel Predictive Control

Online learning-based trajectory tracking for underactuated vehicles with uncertain dynamics

2020-09-14 · Thomas Beckers, Leonardo Colombo, Sandra Hirche, George J. Pappas

Underactuated vehicles have gained much attention in the recent years due to the increasing amount of aerial and underwater vehicles as well as nanosatellites. Trajectory tracking control of these vehicles is a substanti…

A Comprehensive Study on Modelling and Control of Autonomous Underwater Vehicle

2023-12-05 · Rajini Makam, Pruthviraj Mane, Suresh Sundaram, P. B. Sujit

Autonomous underwater vehicles (AUV) have become the de facto vehicle for remote operations involving oceanography, inspection, and monitoring tasks. These vehicles operate in different and often challenging environments…

Pedestrian Models for Autonomous Driving Part I: Low-Level Models, from Sensing to Tracking

2020-02-26 · Fanta Camara, Nicola Bellotto, Serhan Cosar, Dimitris Nathanael 외

Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles navigating through crowds on pedestrianized …

Autonomous DrivingAutonomous Vehicles