Abstract

This work provides a provably safe feedback control for nonholonomic vehicles that autonomously operate in an obstacle field. A barrier function with a tunable, exponential decay rate is used to obtain a safe steering envelope for the vehicle. The safe steering envelope adapts, in real-time, to the vehicle’s velocity and its distance to the static obstacles. The safety control corrects steering commands provided by a nominal tracking control and prevents collisions between the vehicle and the obstacles. The safety and stability of the algorithm are proved analytically and verified via multiple experiments. The resulting safety control is modular and can work well with obstacles of different footprints. Since quick steering control is essential for successful vehicle navigation, a two-layer predictor is proposed to compensate for the time-delay in the vehicle dynamics. The two-layer predictor improves the control response time by as much as a factor of four. The safety and tracking control act on the vehicle kinematics, and the two-layer predictor improves the vehicle’s dynamic performance. The proposed control structure has a closed-form with eight tunable parameters, which facilitates control calibration and tuning in large systems of vehicles. Extensive experiments are carried out on a nonholonomic vehicle to verify the effectiveness of the proposed algorithm.

Highlights

  • Collision-free navigation algorithms have been studied for nonholonomic vehicles, self-driving cars, unmanned aerial vehicles, and surface vehicles [1]–[5]

  • This paper only considers the forward movement

  • The proposed algorithm does not interfere with the trajectory tracking control, simplifies the collision avoidance control design, and reduces the processing power required for collision-free navigation of the nonholonomic vehicle

Read more

Summary

Introduction

Collision-free navigation algorithms have been studied for nonholonomic vehicles, self-driving cars, unmanned aerial vehicles, and surface vehicles [1]–[5]. Safe navigation of a vehicle inside an obstacle field forms a multi-objective control problem with analytic solutions that are computable only for some of the simplest cases [6]. This work focuses on utilizing feedback control for the safe navigation of nonholonomic vehicles. Path planning algorithms, such as the works by Fareh et al [7] and Chu et al [8], are not in the scope of this work. Hoy et al give a comprehensive survey of collision-free navigation algorithms for nonholonomic vehicles [9]. A. OBJECTIVES This work aims to design a steering control with a closedform structure, where safety and stability are analytically proved.

Objectives
Methods
Results
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call