• Title/Summary/Keyword: Collision control algorithm

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Double Actuator Unit based on the Planetary Gear Train Capable of Position/Force Control (위치/힘 제어가 가능한 유성기어 기반의 더블 액츄에이터 유닛)

  • Kim, Byeong-Sang;Park, Jung-Jun;Song, Jae-Bok;Kim, Hong-Seok
    • The Journal of Korea Robotics Society
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    • v.1 no.1
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    • pp.81-88
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    • 2006
  • Control of a robot manipulator in contact with the environment is usually conducted by the direct feedback control using a force-torque sensor or the indirect impedance control. In these methods, however, the control algorithms become complicated and the performance of position and force control cannot be improved because of the mechanical properties of the passive components. To cope with such problems, redundant actuation has been used to enhance the performance of position control and force control. In this research, a Double Actuator Unit (DAU) is proposed, with which the force control algorithm can be simplified and can make the robot ensure the safety during the external collision. The DAU is composed of two actuators; one controls the position and the other modulates the joint stiffness. Using this unit, it is possible to independently control the position and stiffness. The DAU based on the planetary gears is investigated in this paper. Performance using the DAU is also verified by various experiments. It is shown that the manipulator using this mechanism provides better safety during the impact with the environment by reducing the joint stiffness appropriately on detecting the collision of a manipulator.

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Design and Simulation of HomePNA 2.0 MAC Controller Circuit

  • Kim, Jong-Won;Kim, Dae-Young
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2005.11a
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    • pp.179-182
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    • 2005
  • The Home Phoneline Networking Alliance (HomePNA) 2.0 technology can establish a home network using existing in-home phone lines, which provides a channel rate of 4 - 32 Mbps. HomePNA 2.0 Medium Access Control (MAC) protocol adopts an IEEE 802.3 Carrier Sense Multiple Access with Collision Detection (CSMA/CD) access method, a Quality of Service (QoS) algorithm, and a Distributed Fair Priority Queuing (DFPQ) collision resolution algorithm. In this paper, we analyze the HomePNA 2.0 MAC protocol and propose the architecture of HomePNA 2.0 MAC controller circuit. Then, we present the simulation result of each block included in the HomePNA 2.0 MAC controller.

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Analysis of MIMD Backoff Algorithm for IEEE 802.11 DCF (IEEE 802.11 DCF를 위한 MIMD 백오프 알고리즘 분석)

  • Lim, Seog-Ku
    • Journal of Digital Contents Society
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    • v.12 no.3
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    • pp.299-307
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    • 2011
  • The MAC of IEEE 802.11 WLAN to control data transmission uses two control methods called DCF and PCF. The DCF controls the transmission based on CSMA/CA The BEB backoff algorithm of DCF shows relatively excellent performance in situation that the number of competing station is less, but has a problem that performance of throughput and delay is degraded in situation that the number of competing station is increased. This paper mathematically analyzes an MIMD backoff algorithm considering retry limit that increases the CW to doubled after collision and decreases smoothly the CW to halves after successful transmission in order to reduce the collision probability. To prove efficiency of the MIMD backoff algorithm, lots of simulations are conducted and analyzed.

Control System for Ship Collision Avoidance considering the Effect of Wind and Ship's Manoeuvrability

  • Im, Nam-Kyun;Lee, Seung-Keon;Hwang, Seong-Joon
    • Journal of Navigation and Port Research
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    • v.34 no.2
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    • pp.105-110
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    • 2010
  • The studies on automatic ship collision avoidance system, which have been carried out in the last 10 years, are facing on new situation due to newly developed high technology such as computer and other information system. It was almost impossible to make it used in real navigation field 3-4 years ago because of the absence of any tool to give other ship's information, however recently developed technology suggests new possibility. This study is carried out to develop the automatic ship collision avoidance support system which considers ship's manoeuvrability into it's collision avoidance algorithm. One of the important part in ship collision avoidance system is collision decision module which can calculate collision risk with other ships and act properly to avoid the situation. Many of previous researches are using present ship's dynamic data such as present speed, position and course to calculate collision risk. However when a ship commences avoidance action, the real situation is quite different with one that has been estimated by the ship's initial data due to the ship's manoeuvring characteristic. Therefore it is better to take into account ship's manoeuvring characteristic from the stage of collision decision in ship collision avoidance system. In this study, these effects are included in the developed system. The proposed system are verified its usefulness in numerical simulation environments.

Driver Adaptive Control Algorithm for Intelligent Vehicle (운전자 주행 특성 파라미터를 고려한 지능화 차량의 적응 제어)

  • Min, Suk-Ki;Yi, Kyong-Su
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.27 no.7
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    • pp.1146-1151
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    • 2003
  • In this paper, results of an analysis of driving behavior characteristics and a driver-adaptive control algorithm for adaptive cruise control systems have been described. The analysis has been performed based on real-world driving data. The vehicle longitudinal control algorithm developed in our previous research has been extended based on the analysis to incorporate the driving characteristics of the human drivers into the control algorithm and to achieve natural vehicle behavior of the adaptive cruise controlled vehicle that would feel comfortable to the human driver. A driving characteristic parameters estimation algorithm has been developed. The driving characteristics parameters of a human driver have been estimated during manual driving using the recursive least-square algorithm and then the estimated ones have been used in the controller adaptation. The vehicle following characteristics of the adaptive cruise control vehicles with and without the driving behavior parameter estimation algorithm have been compared to those of the manual driving. It has been shown that the vehicle following behavior of the controlled vehicle with the adaptive control algorithm is quite close to that of the human controlled vehicles. Therefore, it can be expected that the more natural and more comfortable vehicle behavior would be achieved by the use of the driver adaptive cruise control algorithm.

Particle swarm optimization-based receding horizon formation control of multi-agent surface vehicles

  • Kim, Donghoon;Lee, Seung-Mok;Jung, Sungwook;Koo, Jungmo;Myung, Hyun
    • Advances in robotics research
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    • v.2 no.2
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    • pp.161-182
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    • 2018
  • This paper proposes a novel receding horizon control (RHC) algorithm for formation control of a swarm of unmanned surface vehicles (USVs) using particle swarm optimization (PSO). The proposed control algorithm provides the coordinated path tracking of multi-agent USVs while preventing collisions and considering external disturbances such as ocean currents. A three degrees-of-freedom kinematic model of the USV is used for the RHC with guaranteed stability and convergence by incorporating a sequential Monte Carlo (SMC)-based particle initialization. An ocean current model-based estimator is designed to compensate for the effect of ocean currents on the USVs. This method is compared with the PSO-based RHC algorithms to demonstrate the performance of the formation control and the collision avoidance in the presence of ocean currents through numerical simulations.

A Discriminative Collision Resolution Scheme for Wireless MAC Protocol (무선 MAC 프로토콜을 위한 차별적인 충돌해결 기법)

  • Hwang, Seong-Ho;Han, Gi-Jun
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.39 no.5
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    • pp.225-231
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    • 2002
  • This paper proposes a discriminative collision resolution scheme for the wireless Medium Access Control (MAC) protocols to support the Quality of Service (QoS) requirements of real-time applications. Our scheme deals with access requests in different ways depending on their delay requirements. In our scheme, a Collision Resolution Period (CRP) is used to quickly resolve collisions for the delay sensitive traffic in order to support their delay requirements. Performance analysis and simulation results show that our algorithm may successfully meet the delay requirements of real time applications by reducing access delays and collisions.

Performance Analysis of HomePNA 2.0 MAC Protocol (HomePNA 2.0 MAC 프로토콜의 성능 분석)

  • Kim, Jong-Won;Kim, Dae-Young
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.10A
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    • pp.877-885
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    • 2005
  • The Home Phoneline Networking Alliance (HomePNA) 2.0 technology can establish a home network using existing in-home phone lines, which provides a channel rate of 4-32 Mbps. HomePNA 2.0 Medium Access Control(MAC) protocol adopts an IEEE 802.3 Carrier Sense Multiple Access with Collision Detection (CSMA/CD) access method, Quality of Service(QoS) algorithm, and Distributed Fair Priority Queuing(DFPQ) collision resolution algorithm. In this paper, we propose some mathematical models about the important elements of HomePNA 2.0 MAC protocol performance, which are Saturation Throughput, Packet Delay and Packet Jitter. Then, we present an overall performance analysis of HomePNA 2.0 MAC protocol along with simulations.

Collision Avoidance Sensor System for Mobile Crane (전지형 크레인의 인양물 충돌방지를 위한 환경탐지 센서 시스템 개발)

  • Kim, Ji-Chul;Kim, Young Jea;Kim, Mingeuk;Lee, Hanmin
    • Journal of Drive and Control
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    • v.19 no.4
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    • pp.62-69
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    • 2022
  • Construction machinery is exposed to accidents such as collisions, narrowness, and overturns during operation. In particular, mobile crane is operated only with the driver's vision and limited information of the assistant worker. Thus, there is a high risk of an accident. Recently, some collision avoidance device using sensors such as cameras and LiDAR have been applied. However, they are still insufficient to prevent collisions in the omnidirectional 3D space. In this study, a rotating LiDAR device was developed and applied to a 250-ton crane to obtain a full-space point cloud. An algorithm that could provide distance information and safety status to the driver was developed. Also, deep-learning segmentation algorithm was used to classify human-worker. The developed device could recognize obstacles within 100m of a 360-degree range. In the experiment, a safety distance was calculated with an error of 10.3cm at 30m to give the operator an accurate distance and collision alarm.

Hybrid Path Planning of Multi-Robots for Path Deviation Prevention (군집로봇의 경로이탈 방지를 위한 하이브리드 경로계획 기법)

  • Wee, Sung-Gil;Kim, Yoon-Gu;Choi, Jung-Won;Lee, Suk-Gyu
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.5
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    • pp.416-422
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    • 2013
  • This paper suggests a hybrid path planning method of multi-robots, where a path deviation prevention for maintaining a specific formation is implemented by using repulsive function, $A^*$ algorithm and UKF (Unscented Kalman Filter). The repulsive function in potential field method is used to avoid collision among robots and obstacles. $A^*$ algorithm helps the robots to find optimal path. In addition, error estimation based on UKF guarantees small path deviation of each robot during navigation. The simulation results show that the swarm robots with designated formation successfully avoid obstacles and return to the assigned formation effectively.