• Title/Summary/Keyword: Position tracking control

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A Study on the Algorithm Development of End-point Position Tracking for Aerial Work Platform with Bend-linked Boom (굴절링크 붐을 갖는 장비의 끝점 좌표 추적 알고리즘 개발에 대한 연구)

  • Oh, Seok-Hyung;Hong, Yong
    • Journal of Power System Engineering
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    • v.20 no.3
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    • pp.64-73
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    • 2016
  • In this research work, an algorithm development on tracking end-point of aerial work platform with jib profile and bend-linked boom was carried out to find the X, Y and Z direction value using coordinate transformation matrix. This matrix consists of device status value(length and angle) based on camera position axis, which are sent from device controller PLUS+1 by CAN protocol. These values are used to measure the distance and angle from the camera to the end-point. Using these distance and angle value, monitoring system controls FAN/TILT/ZOOM status of camera to get an adequate scene of workplace. This program was written in Java, C# and C for mobile device. These results provide the information to the aerial work device for secure operation.

Orthogonalization principle for hybrid control of robot arms under geometric constraint

  • Arimoto, Suguru
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10b
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    • pp.1-6
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    • 1992
  • A principle of "orthogonalization" is proposed as an extended notion of hybrid (force and position) control for robot manipulators under geometric endpoint constraints. The principle realizes the hybrid control in a strict sense by letting position and velocity feedback signals be orthogonal in joint space to the contact force vector whose components are exerted at corresponding joints. This orthogonalization is executed via a projection matrix computed in real-time from a gradient of the equation of the surface in joint coordinates and hence both projected position and velocity feedback signals become perpendicular to the force vector that is normal to the surface at the contact point in joint space. To show the important role of the principle in control of robot manipulators, three basic problems are analyzed, the first is a hybrid trajectory tracking problem by means of a "modified hybrid computed torque method", the second is a model-based adaptive control problem for robot manipulators under geometric endpoint constraints, and the third is an iterative learning control problem. It is shown that the passivity of residual error dynamics of robots follows from the orthogonalization principle and it plays a crucial role in convergence properties of both positional and force error signals.force error signals.

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Precise Position Synchronous Control of Two-Axes System Using Two-Degree-of-Freedom PI Controller in BLDC Motor (2자유도 PI 제어기를 이용한 2축 BLDC 모터 시스템의 정밀 위치동기 제어)

  • Yoo, S.K.;Jeong, S.K.
    • Journal of Power System Engineering
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    • v.5 no.3
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    • pp.104-113
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    • 2001
  • This paper describes a precise position synchronous control of two axes rotating system using BLDC motors and a cooperative control based on decoupling technique and PI control law. The system is required performances both good speed following and minimum position synchronous errors simultaneously. To accomplish these goals, the three kinds of controllers are designed. At first, the current and speed controller are designed very simply to compensate the influences of disturbances and to follow up speed references quickly. Especially, the two degree of freedom PI controller is used considering both good tracking for speed reference input and quick rejection of disturbances in speed controller. Finally, a position synchronous controller is designed as a simple proportional controller to minimize position synchronous errors. The validity of the proposed method is confirmed through some numerical simulations. Moreover, the results are compared to the conventional master-slave control ones to show the effectiveness of the proposed system.

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An accurate sun tracking controller with reconstructing facility for fault sensor (오류신호보정기능을 갖춘 정밀 태양추적제어기)

  • Keun, Hyun-Woong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.9
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    • pp.1913-1920
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    • 2009
  • An intelligent accurate sun tracking controller for solar lighting system was developed. This controller can detect the faulty sensor and correct the error signal based on Principle Component Analysis theory. A fuzzy controller was developed to control the tracker by using the collected sensor signal for precise position control. Also a multiple range searching sensor module for sun tracking was designed. To show the validity of the developed system, some experiments in the field were illustrated.

A Study on New PV Tracking System Including Load Dispersion

  • Lee, Sang-Hun;Song, Hyun-Jig;Park, Chan-Gyu;Song, Sung-Geon
    • Journal of international Conference on Electrical Machines and Systems
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    • v.3 no.4
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    • pp.472-480
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    • 2014
  • The In solar power system, the height and azimuth of the sun are important parameters which control generated power magnitude. The tracking method that controls the daily generation magnitude according to latitude and longitude using the two axles is often used in the existing sunlight tracking system today. In this two-axle PV track control system, the self-load is concentrated on one FRAME. It is influenced of the regular load, snow load and the wind load, etc. It is difficult to set up the system in the conventional building. This research is a development about the small-scale economy track device of independent load-dispersing solar generation system. The position tracking algorithm is through new coordinates transformation calculating the height and azimuth of the sun.

The Design of Target Tracking System Using GA Based FBFN (유전 알고리즘 기반 퍼지 기저 함수 확장을 이용한 표적 추적 시스템 설계)

  • Lee, Bum-Jik;Joo, Young-Hoon;Chang, Wook;Park, Jin-Bae
    • Proceedings of the KIEE Conference
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    • 1999.07b
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    • pp.525-527
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    • 1999
  • In this paper, we propose the target tracking system using fuzzy basis function expansion (FBFN) based on genetic algorithm (GA). In general, the objective of target tracking is to predict the future trajectory of the target based on the past position of the target obtained from the sensor. In the conventional and mathematical method, the parameter uncertainty and the environmental noise may deteriorate the performance of the system. To resolve these problems, we apply artificial intelligent technique to the tracking control of moving targets. The proposed method combines the advantages of both traditional and intelligent technique. The result of numerical simulation shows the effectiveness of the proposed method.

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Formation Geometry Center based Formation Controller Design using Lyapunov Stability Theorem

  • Lee, Ji-Eun;Kim, Hyeong-Seok;Kim, You-Dan;Han, KiHoon
    • International Journal of Aeronautical and Space Sciences
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    • v.9 no.2
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    • pp.71-78
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    • 2008
  • New formation flight controller for unmanned aerial vehicles is proposed. A behavioral decentralized control approach called formation geometry center control is adopted. Trajectory tracking as well as formation geometry keeping are the purpose of the formation flight, and therefore two controllers are designed: a trajectory tracking controller for reference trajectory tracking, and a position controller for formation geometry keeping. Each controller is designed using Lyapunov stability theorem to guarantee the asymptotic stability. Formation flight controller is finally obtained by combining the trajectory tracking controller and the formation geometry keeping controller using a weighting parameter that depends on the relative distance error between unmanned aerial vehicles. Numerical simulations are performed to validate the performance of the proposed controller.

Neural Network Compensation for Impedance Force Controlled Robot Manipulators

  • Jung, Seul
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.14 no.1
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    • pp.17-25
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    • 2014
  • This paper presents the formulation of an impedance controller for regulating the contact force with the environment. To achieve an accurate force tracking control, uncertainties in both robot dynamics and the environment require to be addressed. As part of the framework of the proposed force tracking formulation, a neural network is introduced at the desired trajectory to compensate for all uncertainties in an on-line manner. Compensation at the input trajectory leads to a remarkable structural advantage in that no modifications of the internal force controllers are required. Minimizing the objective function of the training signal for a neural network satisfies the desired force tracking performance. A neural network actually compensates for uncertainties at the input trajectory level in an on-line fashion. Simulation results confirm the position and force tracking abilities of a robot manipulator.

The study on a high efficiency PV tracking system (고효율 태양광 위치 추적 장치에 관한 연구)

  • Lee, Sang-Hun;Lee, Dong-Hee;Park, Sung-Jun;Ahn, Jin-Woo
    • Proceedings of the KIPE Conference
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    • 2007.07a
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    • pp.86-88
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    • 2007
  • In solar power system, the height and azimuth of the sun are important parameters which control generated power magnitude. The tracking method that controls the daily generation magnitude according to latitude and longitude using the two axles is often used in the existing sunlight tracking system today. In this two-axle PV track control system, the self-load is concentrated on one FRAME. It is influenced of the regular load, snow load and the wind load, etc. It is difficult to set up the system in the conventional building. This research is a development about the small-scale economy track device of independent load-dispersing solar generation system. The position tracking algorithm is through the new coordinates transformation calculating the height and azimuth of the sun.

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Path Tracking Controller Design and Simulation for Korean Lunar Lander Demonstrator

  • Yang, Sungwook;Son, Jongjun;Lee, Sangchul
    • International Journal of Aeronautical and Space Sciences
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    • v.16 no.1
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    • pp.102-109
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    • 2015
  • In Korea, Lunar exploration program has been prepared with the aim of launching in the 2020's. As a part of it, a lunar lander demonstrator was developed, which was the model for verifying the system such as structure, propulsion, and control system, before launching into the deep space. This paper deals with the path tracking performance of the lunar lander demonstrator with respect to the thruster controller based on Pulse Width Pulse Frequency Modulator (PWPFM) and Pulse Width Modulator (PWM). First, we derived equations of motion, considering the allocation of the thrusters, and designed the path tracking controller based on Euler angle. The signal generated from the path tracking controller is continuous, so PWPFM and PWM modulator are adopted for generating ON/OFF signal. Finally, MATLAB simulation is performed for evaluating the path tracking ability. We compared the path tracking performances of PWPFM and PWM based thrust controller, using performance measures such as the total impulse and the position error with respect to the desired path.