Maximum Principle in Autonomous Multi-Object Safe Trajectory Optimization

The following article presents the task of optimizing the control of an autonomous object within a group of other passing objects using Pontryagin’s bounded maximum principle. The basis of this principle is a multidimensional nonlinear model of the control process, with state constraints reflecting...

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Main Author: Józef Andrzej Lisowski
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/13/6/1144
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author Józef Andrzej Lisowski
author_facet Józef Andrzej Lisowski
author_sort Józef Andrzej Lisowski
collection DOAJ
description The following article presents the task of optimizing the control of an autonomous object within a group of other passing objects using Pontryagin’s bounded maximum principle. The basis of this principle is a multidimensional nonlinear model of the control process, with state constraints reflecting the motion of passing objects. The analytical synthesis of optimal multi-object control became the basis for the algorithm for determining the optimal and safe object trajectory. Simulation tests of the algorithm on the example of real navigation situations with various numbers of objects illustrate their safe trajectories in changing environmental conditions. The optimal object trajectory obtained using Pontryagin’s maximum principle was compared with the trajectory calculated using the Bellman dynamic programming method. The analysis of the research allowed for the formulation of valuable conclusions and a plan for further research in the field of autonomous vehicle control optimization. The maximum principle algorithm allows one to take into account a larger number of objects whose data are derived from ARPA anti-collision radar systems.
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spelling doaj.art-e3c23c87d6e844d785fb782486a3ebc82024-03-27T13:35:06ZengMDPI AGElectronics2079-92922024-03-01136114410.3390/electronics13061144Maximum Principle in Autonomous Multi-Object Safe Trajectory OptimizationJózef Andrzej Lisowski0Faculty of Electrical Engineering, Gdynia Maritime University, 81-225 Gdynia, PolandThe following article presents the task of optimizing the control of an autonomous object within a group of other passing objects using Pontryagin’s bounded maximum principle. The basis of this principle is a multidimensional nonlinear model of the control process, with state constraints reflecting the motion of passing objects. The analytical synthesis of optimal multi-object control became the basis for the algorithm for determining the optimal and safe object trajectory. Simulation tests of the algorithm on the example of real navigation situations with various numbers of objects illustrate their safe trajectories in changing environmental conditions. The optimal object trajectory obtained using Pontryagin’s maximum principle was compared with the trajectory calculated using the Bellman dynamic programming method. The analysis of the research allowed for the formulation of valuable conclusions and a plan for further research in the field of autonomous vehicle control optimization. The maximum principle algorithm allows one to take into account a larger number of objects whose data are derived from ARPA anti-collision radar systems.https://www.mdpi.com/2079-9292/13/6/1144multi-object controlmaximum principlecomputer simulation
spellingShingle Józef Andrzej Lisowski
Maximum Principle in Autonomous Multi-Object Safe Trajectory Optimization
Electronics
multi-object control
maximum principle
computer simulation
title Maximum Principle in Autonomous Multi-Object Safe Trajectory Optimization
title_full Maximum Principle in Autonomous Multi-Object Safe Trajectory Optimization
title_fullStr Maximum Principle in Autonomous Multi-Object Safe Trajectory Optimization
title_full_unstemmed Maximum Principle in Autonomous Multi-Object Safe Trajectory Optimization
title_short Maximum Principle in Autonomous Multi-Object Safe Trajectory Optimization
title_sort maximum principle in autonomous multi object safe trajectory optimization
topic multi-object control
maximum principle
computer simulation
url https://www.mdpi.com/2079-9292/13/6/1144
work_keys_str_mv AT jozefandrzejlisowski maximumprincipleinautonomousmultiobjectsafetrajectoryoptimization