High-Level Control System for a Path-Planning Teaching Aid

Author(s):  
Pavel Škrabánek ◽  
Filip Majerík
2016 ◽  
Vol 39 (12) ◽  
pp. 1798-1810 ◽  
Author(s):  
Jinghua Guo ◽  
Yugong Luo ◽  
Keqiang Li

In this paper, the leader–follower formation control problem of autonomous over-actuated electric vehicles on a highway is studied. As the autonomous over-actuated electric vehicles have the characteristics of non-linearities, external disturbances and strong coupling, a novel coordinated three-level control system is constructed to supervise the longitudinal and lateral motions of autonomous electric vehicles. Firstly, an adaptive terminal sliding high-level control algorithm is designed to compute a vector of total forces and torque of vehicles, and the stability of the high-level control system is proven via Lyapunov analysis where uniform ultimate boundedness of the closed-loop signals is guaranteed. Then, a pseudo-inverse control allocation algorithm, which can achieve fault tolerance and reconfiguration of the redundant tyre actuation system, is presented to generate the desired longitudinal and lateral tyre forces. Then, a separate low-level controller consisting of an inverse tyre model and two inner loops for each wheel is designed to achieve its desired forces. Finally, simulation results demonstrate that the proposed control system not only enhance the tracking performance, but also improve the stability and riding comfort of autonomous over-actuated electric vehicles in a platoon.


2017 ◽  
Vol 50 (1) ◽  
pp. 1151-1156 ◽  
Author(s):  
Álvaro Gómez ◽  
Luis M. Aristizábal ◽  
Carlos A. Zuluaga ◽  
Julio C. Correa ◽  
Rafael E. Vásquez

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Santiago Rúa ◽  
Rafael E. Vásquez

This paper addresses the development of the simulation of the low-level control system for the underwater remotely operated vehicle Visor3. The 6-DOF mathematical model of Visor3 is presented using two coordinated systems: Earth-fixed and body-fixed frames. The navigation, guidance, and control (NGC) structure is divided into three layers: the high level or the mission planner; the mid-level or the path planner; and the low level formed by the navigation and control systems. The nonlinear model-based observer is developed using the extended Kalman filter (EKF) which uses the linearization of the model to estimate the current state. The behavior of the observer is verified through simulations using Simulink®. An experiment was conducted with a trajectory that describes changes in the x and y and yaw components. To accomplish this task, two algorithms are compared: a multiloop PID and PID with gravity compensation. These controllers and the nonlinear observer are tested using the 6-DOF mathematical model of Visor3. The control and navigation systems are a fundamental part of the low-level control system that will allow Visor3’s operators to take advantage of more advanced vehicle’s capabilities during inspection tasks of port facilities, hydroelectric dams, and oceanographic research.


2019 ◽  
Vol 4 (3) ◽  
pp. 396-405
Author(s):  
Kai Li Lim ◽  
Thomas Drage ◽  
Chao Zhang ◽  
Craig Brogle ◽  
William W. L. Lai ◽  
...  

2018 ◽  
Vol 12 (5) ◽  
pp. 400 ◽  
Author(s):  
Alexander N. Evgrafov ◽  
Vladimir I. Karazin ◽  
Andrei V. Khisamov

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