학술논문

Research on Dynamic Trajectory Planning Algorithm for Safe Obstacle Avoidance of Automatic Forklift
Document Type
Conference
Source
2022 41st Chinese Control Conference (CCC) Chinese Control Conference, 2022 41st. :3749-3754 Jul, 2022
Subject
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Trajectory planning
Heuristic algorithms
Simulation
Turning
Stability analysis
Trajectory
Safety
Trajectory Planning
lateral stability
obstacle avoidance
automatic forklift
Language
ISSN
1934-1768
Abstract
Aiming at the problem of lower lateral stability and overturning caused by excessive centripetal acceleration in Obstacle Avoidance Trajectory Planning of automatic forklift, a method of Optimal Avoidance Safety Boundary (OASB) is proposed in this paper. Firstly, the kinematic and dynamic models of the vehicle are derived. Secondly, the centripetal acceleration and obstacle avoidance time generated by obstacle avoidance maneuver are used as the optimization objectives, and the optimization problem is established to delimit the boundary of minimum centripetal acceleration generated by obstacle avoidance. Finally, a trajectory planner based on model predictive control (MPC) is designed to make the forklift plan the driving trajectory reasonably and legally in the face of obstacles. The simulation results show that the centripetal acceleration of the vehicle when obstacle avoidance turning is within the safe range, which verifies the feasibility of the algorithm.