• Title/Summary/Keyword: Driving Trajectory

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Program Development for Vibration Performance Evaluation of Powder Transfer Equipment

  • Lee, Hyoung-Woo;Ryu, Jeong-Hyeon;Park, Noh-Gill
    • International Journal of Precision Engineering and Manufacturing
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    • v.7 no.2
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    • pp.60-65
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    • 2006
  • A vibrational model of powder transfer equipment based on the lumped parameter method was developed, in which the operating motion consists of surging, bouncing, and pitching. After decoupling the equation of motion, the vibrational excitation source of the pitching motion was removed. So the designers are able to plan the optimum design to adjust the motion trajectory of the powder transfer equipment. That is, a procedure to adjust the motion trajectory of powder transfer equipment by changing design specifications such as the installation position, the direction of the motor, the driving speed, the mass unbalance, the stiffness coefficient, and the installation position of the support spring, is presented in this paper. The powder transfer equipment manufactured according to the results of this study did not suffer fatigue destruction, since the maximum stress on the basket structure was sufficiently small.

Study on Hybrid Control for Motion Control of Mobile Robot Systems (이동로봇의 동작 제어를 위한 하이브리드 시스템 제어에 관한 연구)

  • Lim, Mee-Seub;Lim, Jin-Mo;Lim, Joon-Hong;Oh, Sang-Rok
    • Proceedings of the KIEE Conference
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    • 1998.07g
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    • pp.2348-2350
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    • 1998
  • The hybrid control system for a wheeled mobile robot with nonholonomic constraints to perform a cluttered environment maneuver is proposed. The proposed hybrid control system consists of a continuous state system for the trajectory control, a discrete state system for the motion and orientation control, and an interface control system for the interaction process between the continuous dynamics and the discrete dynamics The continuous control systems are modeled by the switched systems with the control of driving wheels, and the digital automata for motion control are modeled and implemented by the abstracted motion of mobile robot. The motion control tasks such as path generation, motion planning, and trajectory control for a cluttered environment are investigated as the applications by simulation studies.

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Autonomous Path-Tracking Performance of an OmniX-Type Boat Based on Open-Source Ardupilot with RTK GPS (RTK GPS를 이용한 오픈소스 아두파일럿 기반 OmniX 보트의 자율주행 경로 추적성에 관한 연구)

  • An, Nam-Hyun;Gu, Bon-Kuk;Park, Hui-Seung;Jang, Ho-Yun
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.6
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    • pp.867-874
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    • 2021
  • The IoT (Internet of Things) technology is rapidly becoming an important consideration in many engineering fields in the current 4th industrial era. In recent years, the concepts of digital shipbuilding and smart factories have been adopted as trends in shipyards. However, there is active interest in research on implementing autonomous driving in autonomous vehicles and airplanes, which is currently available in commercial form in a limited capacity. The present study is regarding the path-tracking performance of a boat to accomplish an autonomous driving mission using a flight controller (FC) and real-time kinematic (RTK) global positioning system (GPS) based on an open-source Ardupilot; an actual sea test is also performed using this system on a calm lake. The boat's mission is to evaluate the maneuverability of the self-driving process to a specific point and returning to the home position. For a given speed, the difference between the preset mission trajectory and actual operational trajectory was analyzed, and a series of studies were conducted on the applicability of the system to ships. In addition, the movements and maneuverability of the OmniX-type hull with four propellers were investigated, and the driving path-tracking performance was observed to increase by a maximum of 48%.

A Self-Organizing Fuzzy Control Approach to the Driving Control of a Mobile Robot (자기구성 퍼지제어기를 이용한 이동로봇의 구동제어)

  • Bae, Kang-Yul
    • Journal of the Korean Society for Precision Engineering
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    • v.23 no.12 s.189
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    • pp.46-55
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    • 2006
  • A robust motion controller based on self-organizing fuzzy control(SOFC) and feed-back tracking control technique is proposed for a two-wheel driven mobile robot. The feed-back control technique of the controller guarantees the robot follows a desired trajectory. The SOFC technique of the controller deals with unmodelled dynamics of the vehicle and uncertainties. The computer simulations are carried out to verify the tracking ability of the proposed controller with various driving situations. The results of the simulations reveal the effectiveness and stability of the proposed controller to compensate the unmodelled dynamics and uncertainties.

Development of Travelling Control Algorithm Based Fuzzy Perception and Neural Network for Two Wheel Driving Robot (퍼지추론 및 뉴럴네트워크 기반 2휠구동 로봇의 주행제어알고리즘 개발)

  • Kang, Eon-Uck;Yang, Jun-Seok;Cha, Bo-Nam;Park, In-Soo
    • Journal of the Korean Society of Industry Convergence
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    • v.17 no.2
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    • pp.69-76
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    • 2014
  • This paper proposes a new approach to the design of cruise control system of a mobile robot with two drive wheel. The proposed control scheme uses a Gaussian function as a unit function in the fuzzy neural network, and back propagation algorithm to train the fuzzy neural network controller in the framework of the specialized learning architecture. It is proposed a learning controller consisting of two neural network-fuzzy based on independent reasoning and a connection net with fixed weights to simply the neural networks-fuzzy. The performance of the proposed controller is shown by performing the computer simulation for trajectory tracking of the speed and azimuth of a mobile robot driven by two independent wheels.

Control of a mobile robot using a self-tuning controller (적응 제어기를 이용한 자율 운반체 제어)

  • 이기성;신동호
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.20-25
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    • 1993
  • The control of the motion of a mobile robot is studied. The driving and steering motor assembly is located in the front of the mobile robot. The position of the mobile robot is determined by the steering angle and driving distance. For the controller design, a time-series multivariate model of the autogressive exogenous (ARX) type is used to describe the input-output relation. The discounted least square method is used to estimate parameters of the time-series model. A self-tuning controller is so designed that the position of the center of the mobile robot track the given trajectory. Simulation result controlled by a self-tuning controller is presented to illustrate the approach.

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Kinematics and Inverse Kinematics in Unmanned Bicycle System (무인자전거 시스템의 정역학 및 역정역학)

  • Ham, Woon-Chul
    • The Journal of Korea Robotics Society
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    • v.1 no.1
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    • pp.73-80
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    • 2006
  • Bicycle is one of convenient transportation system. In this paper, we derive a more precise kinematics of bicycle system compared with other ones which were suggested by other researchers. In the derivation of kinematics we adopted a physical concept called virtual wheel. We also propose an algorithm for deriving inverse kinematics of a bicycle system. In this paper, the meaning of inverse kinematics is to find the time functions of steering angle and driving wheel speed for a given desired path trajectory. From the computer simulation, we show the validity of our proposed algorithm for inverse kinematics of bicycle system.

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A Study on the Optimum Velocity of a Four Wheel Steering Autonomous Robot (4륜조향 자율주행로봇의 최적속도에 관한 연구)

  • Kim, Mi-Ok;Lee, Jung-Han;Yoo, Wan-Suk
    • Transactions of the Korean Society of Automotive Engineers
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    • v.17 no.4
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    • pp.86-92
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    • 2009
  • A driver-vehicle model means the integrated dynamic model that is able to estimate the steering wheel angle from the driver's desired path based on the dynamic characteristics of the driver and vehicle. Autonomous driving robot for factory automation has individual four-wheels which are driven by electronic motors. In this paper, the dynamic characteristics of several four-wheel steering systems with the simultaneously steerable front and rear wheels are investigated and compared by means of the driver-vehicle model. A diver-vehicle model is proposed by using the PID control to velocity and trajectory of control autonomous driving robot. To determine the optimum speed of a autonomous driving robot, steady-state circle simulation is carried out with the ADAMS program and MATLAB control model.

A Study on Torsional Characteristics of the Car Body Types at Cornering Motion (선회주행 시 차체의 비틀림 특성에 관한 연구)

  • Lee, Joon-Seong;Cho, Seong-Gyu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.10
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    • pp.739-744
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    • 2017
  • Elastic deformation and fatigue damage can cause the permanent deformation of a kart's frame during turning, affecting the kart's driving performance. A kart's frame does not contain any suspension or differential devices and, therefore, the dynamic behavior caused by torsional deformation when driving along a curve can strongly affect these two kinds of deformations. To analyze the dynamic behavior of a kart along a curved section, the GPS trajectory of the kart is obtained and the torsional stress acting on the kart-frame is measured in real time. The mechanical properties of leisure and racing karts are investigated by analyzing their material properties and conducting a tensile test. The torsional stress concentration and frame distortion are investigated through a stress analysis of the frame on the basis of the obtained results. Leisure and racing karts are tested in each driving condition using driving analysis equipment. The behavior of a kart when being driven along a curved section is investigated through this test. Because load movement occurs owing to centrifugal force when driving along a curve, torsional stress acts on the kart's steel frame. In the case of a leisure kart, the maximum torsional stress derived from the torsional fatigue limit was found to be 230 MPa, and the torsional fatigue limit coefficient was 0.65 when driving at a speed of 40 km/h. Furthermore, the driving elements during the cornering of a kart were measured based on an actual auto-test after installing a driving measurement system, and the driving behavior of the kart was analyzed by measuring its vertical displacement.

The Effect Analysis of Safe Driving Education for High-Risk Driver Groups in Sudden Pedestrian Crossing Situation Using a Driving Simulator (주행시뮬레이터를 활용한 보행자 돌발 횡단 상황에서의 고위험 운전자 유형별 안전운전 교육 효과분석)

  • Lee, Jaehyeon;Moh, Daesang;Hong, Jooneui;Lee, Chungwon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.5
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    • pp.18-34
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    • 2021
  • Pedestrian deaths in Korea due to traffic accidents are 40 percent of the fatalities in traffic accidents, which is about twice the average of OECD member countries. To reduce severe pedestrian accidents, it is necessary to apply the accident reduction measures to high-risk drivers (novice, elderly, and commercial vehicle drivers) who are more likely to cause traffic accidents than general drivers. Therefore, this study analyzed the effect of safe driving education on high-risk drivers' behavior. Here, the safe driving education is chosen as the measure to reduce traffic accidents. As part of the study, sudden pedestrian crossing situations were implemented in the driving simulator, and the vehicle trajectory data were collected to compare the driving behavior before and after the education. Most surrogate safety measures showed no improvement in the driving behavior of novice and elderly drivers, and the effect of safe driving education was found to be significant only in the group of commercial vehicle drivers. The results implied that additional measures such as pedestrian safety infrastructure and driver assistance systems, apart from the safe driving education, may be needed for novice and elderly drivers to reduce pedestrian accidents caused by them. With the findings mentioned above, this study is expected to provide a foundation to establish a plan to reduce pedestrian accidents caused by high-risk drivers.