Accession Number : ADA615652


Title :   An MPC Algorithm with Combined Speed and Steering Control for Obstacle Avoidance in Autonomous Ground Vehicles


Descriptive Note : Conference paper


Corporate Author : ARMY TANK AUTOMOTIVE RESEARCH DEVELOPMENT AND ENGINEERING CENTER WARREN MI


Personal Author(s) : Liu, Jiechao ; Jayakumar, Paramsothy ; Stein, Jeffrey L ; Ersal, Tulga


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a615652.pdf


Report Date : 24 Apr 2015


Pagination or Media Count : 10


Abstract : This article presents a model predictive control based obstacle avoidance algorithm for autonomous ground vehicles in unstructured environments. The novelty of the algorithm is the simultaneous optimization of speed and steering without a priori knowledge about the obstacles. Obstacles are detected using a planar LIDAR sensor and a multi-phase optimal control problem is formulated to optimize the speed and steering commands within the detection range. Acceleration capability of the vehicle as a function of speed, and stability and handling concerns such as tire lift-off are taken into account as constraints in the optimization problem, whereas the cost function is formulated to navigate the vehicle as quickly as possible with smooth control commands. Thus, a safe and quick navigation is enabled without the need for a preloaded map of the environment. Simulation results show that the proposed algorithm is capable of navigating the vehicle through obstacle fields that cannot be cleared with steering control alone.


Descriptors :   *AUTONOMOUS NAVIGATION , *GROUND VEHICLES , ALGORITHMS , COLLISION AVOIDANCE , DETECTORS , GROUND SPEED , OPTIMIZATION , PHASE CONTROL , SIMULATION , STEERING


Subject Categories : Cybernetics
      Surface Transportation and Equipment
      Navigation and Guidance


Distribution Statement : APPROVED FOR PUBLIC RELEASE