The Impact of Control Structure on the Path-Following Control of Unmanned Compaction Rollers

2020 ◽  
Author(s):  
Xu Quanzhi ◽  
Xie Hui ◽  
Song Kang
Keyword(s):  
Control Structure ◽  
Path Following ◽  
Path Following Control ◽  
The Impact

scholarly journals Dynamic-boundary-based lateral motion synergistic control of distributed drive autonomous vehicle

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kai Wang ◽  
Weiping Ding ◽  
Mingliang Yang ◽  
Qiao Zhu
Keyword(s):  
Motion Control ◽  
Path Following ◽  
Stability Control ◽  
Path Tracking ◽  
Lateral Motion ◽  
Tracking Accuracy ◽  
Dynamic Boundary ◽  
Path Following Control ◽  
Yaw Stability ◽  
The Impact

AbstractTo improve the path tracking accuracy and yaw stability of distributed drive autonomous vehicles (DDAVs) under extreme working conditions, a cooperative lateral motion control method based on the dynamic boundary is proposed to prevent different road adhesion conditions from affecting the motion stability of DDAVs. Based on the analysis of the DDAV lateral dynamics system coordination mechanism, a dynamic boundary considering the pavement adhesion coefficient is proposed, and the Lateral Motion Synergistic Control System (LMSCS) is designed. The LMSCS is divided into the coordination, control, and executive layers. The coordination layer divides the control domain into the stable, quasi-stable, and unstable domains by the dynamic boundary, and coordinates the control strength of the path following control and yaw stability control. In the control layer, the path following control and yaw stability control laws are designed based on the global fast terminal sliding mode. The executive layer estimates the expected steering wheel angle and expected additional wheel torque. Joint simulations under double line shifting conditions confirmed that LMSCS reflects the impact of the road attachment conditions and improves the path tracking accuracy and vehicle yaw stability. The LMSCS has better overall performance than existing lateral motion control methods.

Path Following Control of Tractor-trailers with Off-axle Hitching

2010 ◽  
Vol 36 (9) ◽  
pp. 1272-1278 ◽  
Author(s):  
Huo-Feng ZHOU ◽  
Bao-Li MA ◽  
Li-Hui SONG ◽  
Fang-Fang ZHANG
Keyword(s):  
Path Following ◽  
Path Following Control

scholarly journals A 3D Path Following Control Scheme for Robot Manipulators

2020 ◽  
Vol 53 (2) ◽  
pp. 9968-9973
Author(s):  
Yalun Wen ◽  
Prabhakar Pagilla
Keyword(s):  
Robot Manipulators ◽  
Path Following ◽  
Path Following Control ◽  
Control Scheme

scholarly journals Modified Vector Field Path-Following Control System for an Underactuated Autonomous Surface Ship Modelin the Presence of Static Obstacles

2021 ◽  
Vol 9 (6) ◽  
pp. 652
Author(s):  
Haitong Xu ◽  
Miguel A. Hinostroza ◽  
C. Guedes Guedes Soares
Keyword(s):  
Control System ◽  
Vector Field ◽  
Path Following ◽  
Field Method ◽  
Integrated System ◽  
Ship Model ◽  
Surface Ship ◽  
Path Following Control ◽  
Exponentially Stable ◽  
Vector Field Method

A modified path-following control system using the vector field method for an underactuated autonomous surface ship model is proposed in the presence of static obstacles. With this integrated system, autonomous ships are capable of following the predefined path, while avoiding the obstacles automatically. It is different from the methods in most published papers, which usually study path-following and obstacle collision avoidance, separately. This paper considers the coupled path following and collision avoidance task as a whole. Meanwhile, the paper also shows the heading control design method in the presence of static obstacles. To obtain a strong stability property, a nonlinear autopilot is designed based on the manoeuvring tests of the free-running ship model. The equilibrium point of the controller is globally exponentially stable. For the guidance system, a novel vector field method was proposed, and the proof shows the coupled guidance and control system is uniform semi-global exponentially stable (USGES). To prevent the obstacles near the predefined path, the proposed guidance law is augmented by integrating the repelling field of obstacles so that it can control the ship travel toward the predefined path through the obstacles safely. The repelling field function is given considering the obstacle shape and collision risk using the velocity obstacle (VO) algorithm. The simulations and ship model test were performed to validate the integrated system of autonomous ships.

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