• 제목/요약/키워드: leader-following robots

검색결과 11건 처리시간 0.022초

가상의 힘을 이용한 군집 로봇의 대형 제어 알고리즘 (Formation Control Algorithm for Swarm Robots Using Virtual Force)

  • 탁명환;주영훈
    • 전기학회논문지
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    • 제63권10호
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    • pp.1428-1433
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    • 2014
  • In this paper, we propose the formation control algorithm using the leader-following robots in given space. The proposed method is as follows: First, we plan a path of the leader robot for the obstacle avoidance. After that, we propose the formation control algorithm of the following robots using the position and the orientation angle of the leader robot. Also, we propose method for adjusting the formation of the swarm robots when the following robots detect an obstacles. Finally, we show the effectiveness and feasibility of the proposed method though some simulations.

Leader-Following Formation Control of Multiple Robots with Uncertainties through Sliding Mode and Nonlinear Disturbance Observer

  • Qian, Dianwei;Tong, Shiwen;Li, Chengdong
    • ETRI Journal
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    • 제38권5호
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    • pp.1008-1018
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    • 2016
  • This paper presents a control scheme for the leader-following formation of multiple robots. The control scheme combines the sliding mode control (SMC) method with the nonlinear disturbance observer (NDOB) technique. The formation dynamics suffer from uncertainties because the individual robots are uncertain. Concerning such formation uncertainties, the leader-following formation dynamics are modeled. Assuming that the formation uncertainties have an unknown boundary, an NDOB-based observer was designed to estimate the formation uncertainties. A sliding surface containing the observer outputs has been defined. Regarding the sliding surface, an SMC-based controller was investigated to form uncertain robots. A sufficient condition in the sense of the Lyapunov theory was proven such that the formation system is asymptotically stable. Herein, some comparison results between the sole SMC method and the second-order SMC method are presented to demonstrate the effectiveness and feasibility of the control scheme for multiple robots in the presence of uncertainties.

인공 포텐셜 장을 이용한 군집 로봇의 대형 제어 (Formation Control for Swarm Robots Using Artificial Potential Field)

  • 김한솔;주영훈;박진배
    • 한국지능시스템학회논문지
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    • 제22권4호
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    • pp.476-480
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    • 2012
  • 본 논문에서는 선도 로봇을 추종하는 군집 로봇의 대형 제어를 인공 포텐셜 장을 사용하여 제안한다. 또한, 인공 포텐셜 장은 물리적으로 해석하기 쉬운 전기장을 모델링하여 구성하고, 장애물을 더욱 효과적으로 모델링하기 위해서, 장애물의 모양에 따라 전기장의식을 달리한다. 제안하는 방법은 선도 로봇의 경로를 인공 포텐셜 장을 통해 계획한 뒤, 선도 로봇을 추종 로봇이 뒤따라가는 형태로 구성된다. 마지막으로 시뮬레이션 예제를 통해 제안하는 기법의 타당성을 검증한다.

다중모바일로봇의 리더추종을 위한 샘플데이타 모델예측제어 (Sampled-Data MPC for Leader-Following of Multi-Mobile Robot System)

  • 한승용;이상문
    • 전기학회논문지
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    • 제67권2호
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    • pp.308-313
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    • 2018
  • In this paper, we propose a sampled-data model predictive tracking control deign for leader-following control of multi-mobile robot system. The error dynamics of leader-following robots is modeled as a Linear Parameter Varying (LPV) model. Also, the Lyapunov function is presented to guarantee stability of the networked control system. Based on the stabilization condition using a quadratic Lyapunov function approach, model predictive sampled-data controller is designed. Finally, the leader-following control of multi mobile robots is simulated to show effectiveness of the proposed method.

미지의 파라미터를 갖는 이동 로봇들을 위한 선도-추종 방법 기반 적응 군집 제어 (Leader-following Approach Based Adaptive Formation Control for Mobile Robots with Unknown Parameters)

  • 문써레;박봉석;최윤호;박진배
    • 전기학회논문지
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    • 제60권8호
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    • pp.1592-1598
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    • 2011
  • In this paper, a formation control method based on the leader-following approach for nonholonomic mobile robots is proposed. In the previous works, it is assumed that the followers know the leader's velocity by means of communication. However, it is difficult that the followers correctly know the leader's velocity due to the contamination or delay of information. Thus, in this paper, an adaptive approach based on the parameter projection algorithm is proposed to estimate the leader's velocity. Moreover, the adaptive backstepping technique is used to compensate the effects of a dynamic model with the unknown time-invariant and time-varying parameters. From the Lyapunov stability theory, it is proved that the errors of the closed-loop system are uniformly ultimately bounded. Simulation results illustrate the effectiveness of the proposed control method.

다개체 이동 로봇을 위한 선도-추종 접근법 기반 적응 군집 제어 (Leader-Following Based Adaptive Formation Control for Multiple Mobile Robots)

  • 박봉석;박진배
    • 제어로봇시스템학회논문지
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    • 제16권5호
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    • pp.428-432
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    • 2010
  • In this paper, an adaptive formation control based on the leader-following approach is proposed for multiple mobile robots with time varying parameters. The proposed controller does not require the velocity information of the leader robot, which is commonly assumed that it is either measured or telecommunicated. In order to estimate time varying velocities of the leader robot, the smooth projection algorithm is employed. From the Lyapunov stability theory, it is proved that the proposed control scheme can guarantee the uniform ultimate boundedness of error signals of the closed-loop system. Finally, the computer simulations are performed to demonstrate the performance of the proposed control system.

다중 집광로봇의 수평대형유지를 위한 기초 알고리즘 연구 (Basic Control Algorithm for Parallel Formation of Multi-mining Robots)

  • 윤석민;여태경;홍섭;김상봉
    • Ocean and Polar Research
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    • 제36권4호
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    • pp.465-473
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    • 2014
  • This paper proposes a formation control method by which multi-mining robots maintain a specified formation and follow a path. To secure the path tracking performance, a pure-pursuit algorithm is considered for each individual robot, and to minimize the deviation from the reference path, speed reduction in the steering motion is added. For the formation, in which two robots are parallel in a lateral direction, the robots track the specified path at a constant distance. In this way, the Leader-Follower method is adopted and the following robot knows the position and heading angle of the leader robot. Through the experimental test using two ground vehicle models, the performance is verified.

시간 종속적인 리아프노프 함수를 이용한 모바일 로봇의 선도-추종 샘플 데이터 제어 (Leader-Following Sampled-Data Control of Wheeled Mobile Robots using Clock Dependent Lyapunov Function)

  • 예동희;한승용;이상문
    • 대한임베디드공학회논문지
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    • 제16권4호
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    • pp.119-127
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    • 2021
  • The aim of this paper is to propose a less conservative stabilization condition for leader-following sampled-data control of wheeled mobile robot (WMR) systems by using a clock-dependent Lyapunov function (CDLF) with looped functionals. In the leader-following WMR system, the state and input of the leader robot are measured by digital devices mounted on the following robot, and they are utilized to construct the sampled-data controller of the following robot. To design the sampled-data controller, a stabilization condition is derived by using the CDLF with looped functionals, and formulated in terms of sum of squares (SOS). The considered Lyapunov function is a polynomial form with respect to the clock related to the transmitted sampling instants. As the degree of the Lyapunov function increases, the stabilization condition becomes less conservative. This ensures that the designed controller is able to stabilize the system with a larger maximum sampling interval. The simulation results are provided to demonstrate the effectiveness of the proposed method.

모델 불확실성 및 외란을 갖는 이동 로봇들을 위한 적응 슬라이딩 모드 군집 제어 및 충돌 회피 기법 (Adaptive Sliding-Mode Formation Control and Collision Avoidance for Multi-agent Nonholonomic Mobile Robots with Model Uncertainty and Disturbance)

  • 박봉석;박진배
    • 제어로봇시스템학회논문지
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    • 제16권11호
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    • pp.1038-1043
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    • 2010
  • In this paper, an adaptive sliding-mode formation control and collision avoidance are proposed for electrically driven nonholonomic mobile robots with model uncertainties and external disturbances. A sliding surface based on the leader-follower approach is developed to achieve the desired formation in the presence of model uncertainties and disturbances. Moreover, by using the collision avoidance function, the mobile robots can avoid the obstacles successfully. Finally, simulations illustrate the effectiveness of the proposed control system.

이동 로봇의 군집 제어를 위한 PID 제어기의 적응 신경 회로망 보상기 설계 (Design of PID Controller with Adaptive Neural Network Compensator for Formation Control of Mobile Robots)

  • 김용백;박진현;최영규
    • 한국정보통신학회논문지
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    • 제18권3호
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    • pp.503-509
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    • 2014
  • 본 논문에서는 이동 로봇의 군집 제어를 위해 실시간 적응 신경 회로망 보상기를 갖는 PID 제어기를 제안한다. 전체 제어 시스템은 선도-추종 로봇 접근법에 의한 기구학 제어기와 이동 로봇의 동역학을 고려한 동적 제어기로 구성되어 있다. 동적 제어기는 PID 제어기에 동특성 변화를 보상하고 성능을 개선시키기 위해 실시간 학습 기능을 가진 신경 회로망 보상기로 구성하였다. 모의실험을 통해 원형 궤적과 직선 궤적에 대해 PID 제어기와 신경 회로망 보상기의 성능을 비교하였다. 이를 통해 실시간 학습 기능을 가진 신경 회로망 보상기가 PID 제어기의 성능을 향상시킴으로써 군집 제어에서 추종 로봇의 추종 성능을 향상시키는 것을 확인하였다.