Command-filter-adaptive-based lateral motion control for autonomous vehicle

2022 ◽  
Vol 121 ◽  
pp. 105044
Author(s):  
Junda Zhang ◽  
Jian Wu ◽  
Jianmin Liu ◽  
Qing Zhou ◽  
Jianwei Xia ◽  
...  
Keyword(s):  
Motion Control ◽  
Autonomous Vehicle ◽  
Lateral Motion ◽  
Command Filter

scholarly journals Autonomous Navigation of a Team of Unmanned Surface Vehicles for Intercepting Intruders on a Region Boundary

Sensors ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 297
Author(s):  
Ali Marzoughi ◽  
Andrey V. Savkin
Keyword(s):  
Motion Control ◽  
Autonomous Vehicles ◽  
Autonomous Navigation ◽  
Control Algorithm ◽  
Autonomous Vehicle ◽  
Sufficient Conditions ◽  
Real Life ◽  
Unmanned Surface Vehicles ◽  
Necessary And Sufficient ◽  
See Region

We study problems of intercepting single and multiple invasive intruders on a boundary of a planar region by employing a team of autonomous unmanned surface vehicles. First, the problem of intercepting a single intruder has been studied and then the proposed strategy has been applied to intercepting multiple intruders on the region boundary. Based on the proposed decentralised motion control algorithm and decision making strategy, each autonomous vehicle intercepts any intruder, which tends to leave the region by detecting the most vulnerable point of the boundary. An efficient and simple mathematical rules based control algorithm for navigating the autonomous vehicles on the boundary of the see region is developed. The proposed algorithm is computationally simple and easily implementable in real life intruder interception applications. In this paper, we obtain necessary and sufficient conditions for the existence of a real-time solution to the considered problem of intruder interception. The effectiveness of the proposed method is confirmed by computer simulations with both single and multiple intruders.

Coordinated Longitudinal and Lateral Motion Control for Four Wheel Independent Motor-Drive Electric Vehicle

2018 ◽  
Vol 67 (5) ◽  
pp. 3782-3790 ◽  
Author(s):  
Hongliang Zhou ◽  
Fengjiao Jia ◽  
Houhua Jing ◽  
Zhiyuan Liu ◽  
Levent Guvenc
Keyword(s):  
Electric Vehicle ◽  
Motion Control ◽  
Motor Drive ◽  
Lateral Motion

Network Control of Vehicle Lateral Dynamics With Control Allocation and Dynamic Message Priority Assignment

2013 ◽  
Author(s):  
Zhibin Shuai ◽  
Hui Zhang ◽  
Junmin Wang ◽  
Jianqiu Li ◽  
Minggao Ouyang
Keyword(s):  
Motion Control ◽  
Time Delays ◽  
Network Control ◽  
Lateral Motion ◽  
Priority Assignment ◽  
Limited Bandwidth ◽  
Vehicle Networks ◽  
Adverse Influence ◽  
Point To Point ◽  
Vehicle Network

In this paper we study the lateral motion control and torque allocation for four-wheel-independent-drive electric vehicles (4WID-EVs) with combined active front steering (AFS) and direct yaw moment control (DYC) through in-vehicle networks. It is well known that the in-vehicle networks and x-by-wire technologies have considerable advantages over the traditional point-to-point communications, and bring great strengths to 4WID-EVs. However, there are also bandwidth limitations which would lead to message time delays in network communication. We propose a method on effectively utilizing the limited bandwidth resources and attenuating the adverse influence of in-vehicle network-induced time delays, based on the idea of dynamic message priority assignment according to the vehicle states and control signals. Simulation results from a high-fidelity vehicle model in CarSim® show that the proposed vehicle lateral control and torque allocation algorithm can improve the 4WID-EV lateral motion control performance, and the proposed message priority dynamic assignment algorithm can significantly reduce the adverse influence of the in-vehicle network-induced time delays.

scholarly journals Risk-based autonomous vehicle motion control with considering human driver’s behaviour

2019 ◽  
Vol 107 ◽  
pp. 1-14 ◽  
Author(s):  
Chongfeng Wei ◽  
Richard Romano ◽  
Natasha Merat ◽  
Yafei Wang ◽  
Chuan Hu ◽  
...  
Keyword(s):  
Motion Control ◽  
Autonomous Vehicle ◽  
Vehicle Motion

scholarly journals Impact motion control of a flexible dual-arm space robot for capturing a spinning object

2019 ◽  
Vol 16 (3) ◽  
pp. 172988141985753
Author(s):  
Xiali Li ◽  
Licheng Wu
Keyword(s):  
Motion Control ◽  
Control Method ◽  
Initial Conditions ◽  
Autonomous Vehicle ◽  
Stable State ◽  
Momentum Conservation ◽  
Space Robot ◽  
Dynamics Response ◽  
The Impact ◽  
Dual Arm

As an autonomous vehicle that moves on the space orbit, a space robot needs to be carefully treated on the motion planning and control method. In this article, the optimal impact and postimpact motion control of a flexible dual-arm space robot capturing a spinning object are considered. Firstly, the dynamic model of the robot systems is built by using Lagrangian formulation. The flexible links are modeled as Euler–Bernoulli beams of two bending modes. Through simulating the system’s postimpact dynamics response, the initial conditions are obtained from the impact model. Next, the initial velocities of base and joint are adjusted to minimize the velocity of the base after the capture according to generalized momentum conservation. After the capture, a proportional–derivative controller is designed to keep the robot system’s stabilization. The simulation results show that joint angles of base and manipulators reach stable state quickly, and motions of the space robots also induce vibrating motions of the flexible manipulators.

Lateral Motion Control of a Vehicle Using the Rear Steer: Simulation Study

2015 ◽  
Author(s):  
Jin-Woo Lee ◽  
Bakhtiar B. Litkouhi
Keyword(s):  
Motion Control ◽  
Steering System ◽  
Lateral Motion ◽  
Automated Driving ◽  
Motion Error ◽  
Driving Mode ◽  
Vehicle Technology ◽  
Path Prediction ◽  
Future Work ◽  
Control Methodology

The lateral motion control is a key element for automated driving vehicle technology. Typically, the front steering system has been used as the primary actuator for vehicle lateral motion control. Alternatively, this paper presents a new method of the lateral motion control using a rear steer. When combined with the front steer actuator, the rear steer can generate more dynamically responsive turning of the vehicle. In addition, the rear steer can be used as a secondary back up actuator when the front steer actuator fails to operate during automated driving mode. Similar to the prior research that has used the front steer actuator for the lateral control, the control methodology presented in this paper maintains the same hierarchical framework, i.e., sensor fusion, path prediction, path planning, and motion control. Since the rear steer is in play for the vehicle lateral motion control, the equations for the path prediction and vehicle dynamics are re-derived with non-zero front steer and rear steer angles. Combined with the rear steering dynamics, the model predictive control (MPC) technique is applied for motion error minimization. This paper describes the theoretical part of the algorithm, and provides simulation results to show effectiveness of the algorithm. Future work will include vehicle implementation, testing, and evaluation.

2A2-I02 Lateral Motion Control of a Vehicle with a Large Sideslip Angle(Car Robotics & ITS)

2014 ◽  
Vol 2014 (0) ◽  
pp. _2A2-I02_1-_2A2-I02_2
Author(s):  
Hiroshi NAKANO ◽  
Ken OKAYAMA ◽  
Jun KINUGAWA ◽  
Kazuhiro KOSUGE
Keyword(s):  
Motion Control ◽  
Lateral Motion ◽  
Sideslip Angle
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