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충돌 회피가 보장된 분산화된 군집 UGV의 모델 예측 포메이션 제어

Distributed Model Predictive Formation Control of UGV Swarm Guaranteeing Collision Avoidance

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초록

This paper proposes a distributed model predictive formation control algorithm for a group of unmanned ground vehicles (UGVs) with guaranteeing collision avoidance between UGVs. Generally, the model predictive control based formation control has a disadvantage in that it takes a long time to compute control inputs when considering collision avoidance between UGVs. In this paper, in order to overcome this problem, the formation control algorithm is implemented in a distributed manner so that it could be individually controlled. Also, a collision-avoidance method considering real-time is proposed. The proposed formation control algorithm is implemented based on robot operating system (ROS), open source-based middleware. Through the various simulation tests, it is confirmed that the formation control of five UGVs is successfully performed while avoiding collisions between UGVs.

Abstract

This paper proposes a distributed model predictive formation control algorithm for a group of unmanned ground vehicles (UGVs) with guaranteeing collision avoidance between UGVs. Generally, the model predictive control based formation control has a disadvantage in that it takes a long time to compute control inputs when considering collision avoidance between UGVs. In this paper, in order to overcome this problem, the formation control algorithm is implemented in a distributed manner so that it could be individually controlled. Also, a collision-avoidance method considering real-time is proposed. The proposed formation control algorithm is implemented based on robot operating system (ROS), open source-based middleware. Through the various simulation tests, it is confirmed that the formation control of five UGVs is successfully performed while avoiding collisions between UGVs.

참고문헌 (8)

  1. J. Alonso-Mora, "Multi-robot Formation Control and Object Transport in Dynamic Environments Via Constrained Optimization", International Journal of Robotics Research, 36(9), pp.1000~1021 (2017)
  2. G. López-Nicolás, "Adaptive Multirobot Formation Planning to Enclose and Track a Target with Motion and Visibility Constraints", IEEE Transactions on Robotics, 36(1), pp.142~156 (2020)
  3. A. S. Lafmejani, "Nonlinear MPC for Collision-free and Deadlock-free Navigation of Multiple Nonholonomic Mobile Robots", Robotics and Autonomous Systems, 141, pp.103774~ (2021)
  4. S. M. Lee, "Receding Horizon Particle Swarm Optimisation-based Formation Control with Collision Avoidance for Nonholonomic Mobile Robots", IET Control Theory & Applications, 9(14), pp.2075~2083 (2015)
  5. 이승목, "다개체 로봇 편대 제어를 위한 이동 구간 입자 군집 최적화 알고리즘의 통계적 성능 분석", 한국산업정보학회논문지, 24(5), pp.115~120 (2019), 한국산업정보학회[DOI]
  6. 김동진, "두 대의 드론을 이용한 편대 비행 제어 시스템 구현", 대한임베디드공학회논문지, 11(6), pp.343~351 (2016), 대한임베디드공학회[DOI]
  7. 문성태, "RTK-GPS 기반 실외 군집 비행 시스템 개발", 정보과학회논문지, 43(12), pp.1315~1324 (2016), 한국정보과학회

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