• Title/Summary/Keyword: Tracking Mode

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Hybrid Control of 5-Link Biped Robot Using a Wavelet Neural Network (웨이블릿 신경회로망을 이용한 5링크 이족로봇의 하이브리드 제어)

  • Kim, Chul-Ha;Choi, Yoon-Ho;Park, Jin-Bae
    • Proceedings of the KIEE Conference
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    • 2005.07d
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    • pp.2717-2719
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    • 2005
  • Generally, biped walking is difficult to control because a biped robot is a nonlinear system with various uncertainties. In this paper, we propose a hybrid control system to improve the efficiency of position tracking performance of biped locomotion. In our control system, the wavelet neural network (WNN) based on Sliding mode controller is used as a main controller which estimates a biped robot model, and the compensated controller is proposed to compensate the estimation error. A WNN is utilized to estimate uncertain and nonlinear system parameters, where the weights of WNN are trained by adaptive laws that are induced from the Lyapunov stability theorem. Finally, the effectiveness of the proposed control system is verified through computer simulations.

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5ft S-Band TT&C Antenna Test

  • Ahn Sang-il;Park Dong-Chul
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.467-470
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    • 2004
  • In early 2004, KARI developed 5ft S-Band TT&C antenna for especially KOMPSAT-2 operation in LEOP phase. This paper shows system features of 5ft S-Band antenna and its test result with KOMPSAT-l. Tracking test, command uplink test and telemetry downlink test were performed. Through tests, 5ft antenna was verified to be operational in uplink and downlink with KOMPSAT series. Due to its inherent wide 3dB beam-width of about 7deg at S-Band, this antenna system can be used very effectively even though orbital information is less accurate like LEOP and spacecraft safe mode.

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Composite adaptive neural network controller for nonlinear systems (비선형 시스템제어를 위한 복합적응 신경회로망)

  • 김효규;오세영;김성권
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.14-19
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    • 1993
  • In this paper, we proposed an indirect learning and direct adaptive control schemes using neural networks, i.e., composite adaptive neural control, for a class of continuous nonlinear systems. With the indirect learning method, the neural network learns the nonlinear basis of the system inverse dynamics by a modified backpropagation learning rule. The basis spans the local vector space of inverse dynamics with the direct adaptation method when the indirect learning result is within a prescribed error tolerance, as such this method is closely related to the adaptive control methods. Also hash addressing technique, similar to the CMAC functional architecture, is introduced for partitioning network hidden nodes according to the system states, so global neuro control properties can be organized by the local ones. For uniform stability, the sliding mode control is introduced when the neural network has not sufficiently learned the system dynamics. With proper assumptions on the controlled system, global stability and tracking error convergence proof can be given. The performance of the proposed control scheme is demonstrated with the simulation results of a nonlinear system.

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Statistical analysis of Anomalous Refraction on KVN sites

  • Lee, Jeong Ae;Byun, Do-Young;Sohn, Bong Won
    • The Bulletin of The Korean Astronomical Society
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    • v.39 no.2
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    • pp.101.1-101.1
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    • 2014
  • The fluctuation of VLBI visibility phase can be occurred, predominantly caused by the irregular distribution and motion of water vapor in the atmosphere at high frequencies (>1GHz). This radio-seeing effect shows up on filled-aperture telescopes as an anomalous refraction (AR). This can be shown as if the antenna pointing-offset increases, in other words the apparent displacement of radio sources from its nominal position happens. We carried out the single-dish observations on KVN sites in order to check the effect of AR from 2010 to 2014. Orion KL, U Her, and R Leo were observed with 1second sampling time at 22.235GHz and 43.122GHz simultaneously. Each source was observed with the tracking mode for 30 minutes per a source. We analyzed the structure function, power spectrum and Allan variance of the data according to a day and a night, a season and observatories. Finally, we can infer that the AR effect depends on the atmospheric environment, especially tropospheric turbulence.

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Robust Depth and Course Control of AUV Using LMI-based $H_{\infty}$ Servo Control (LMI에 기초한 $H_{\infty}$ 서보제어를 이용한 AUV의 강인한 자동 심도 및 방향제어)

  • 양승윤;김인수;이만형
    • Journal of the Korea Institute of Military Science and Technology
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    • v.3 no.1
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    • pp.38-46
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    • 2000
  • In this paper, robust depth and course controllers of AUV(autonomous underwater vehicles) using LMI-based H$_{\infty}$ servo control are proposed. The $H_{\infty}$ servo problem is modified to an $H_{\infty}$ control problem for the generalized plant that includes a reference input mode, and then a sub-optimal solution that satisfies a given performance criteria is calculated by LMI(Linear Matrix Inequality) approach. The robust depth and course controllers are designed to be satisfied the robust stability about the modeling error generated from the perturbation of the hydrodynamic coefficients and the robust tracking property under sea wave and tide disturbances. The performances of the designed controllers are evaluated by computer simulations, and these simulation results show the applicability of the proposed robust depth and course controller.

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Neural-Net Based Nonlinear Adaptive Control for AUV

  • Li, Ji-Hong;Lee, Sang-Jeong;Lee, Pan-Mook
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.173.4-173
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    • 2001
  • This paper presents a stable nonlinear adaptive control for AUV(Autonomous Underwater Vehicle) by using neural network. AUV's dynamics are highly nonlinear, and their hydrodynamic coefficients vary with different operational conditions. In this paper, the nonlinear uncertainties of the AUV's dynamics are approximated by using LPNN(Linearly parameterized Neural Network). The presented controller is consist of three parallel terms; linear feedback control, sliding mode control, and adaptive control(LPNN). Lyapunov theory is used to guarantee the stability of tracking errors and neural network´s weights errors. Numerical simulations for nonlinear control of the AUV show the effectiveness of the proposed techniques.

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Position Control for the XY Drive System with Lu-Gre Friction Model (Lu-Gre 마찰 모델을 갖는 XY구동계의 위치제어)

  • 한성익;방두열
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.04a
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    • pp.186-189
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    • 2001
  • In a precise control system, the Lu-Gre friction model has often been used to describe the nonlinear friction. For the XY table system with this friction model, we identified the friction parameters and designed nonlinear observer. The nonlinear friction effects could be removed within appropriate position tracking errors and control inputs through experiments. Also, we designed the nonmodel-based SMC system to compensate the nonlinear friction. Through experiments, it is shown that this method has the similar performance compared with the nonlinear observer system and is useful when friction parameters are hard to identify except the problem of input chattering.

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A Nonlinear Robust Control of Robot Arm with Four Joints Based on Lyapunov Stability Analysis (리아프노프 안정성 해석에 기준한 4축 로봇 아암의 비선형 견실제어)

  • Hyeon, Gi-Kwon;Shim, Hyun-Seok;Yoon, Dae-sik
    • Journal of the Korean Society of Industry Convergence
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    • v.18 no.3
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    • pp.157-166
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    • 2015
  • In this paper, we proposed a new robust control scheme to implement stable control of robot manipulators including nonlinear perameters The proposed robust controller is composed of a nonlinear controller and linear compemsation controller. It shows a good robust performance in reaching mode which does not possess invariance property. Thus, the proposed nonlinear controller showed a good robust performance in the whole region, It was illustrated that the proposed control showed a good transient response and trajectory tracking performance for robot manipulator with four joint by experiments.

Tracking Control of HDD Dual Stage Actuator with Shear Mode PZT Micro-actuator (하드 디스크용 전단형 2단구동기의 동적 해석 및 제어)

  • Park, Sung-Joon;Lee, Sang-Min;Yoon, Joon-Hyun;Yang, Hyun-Seok;Park, Yong-Pil
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2000.06a
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    • pp.1570-1576
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    • 2000
  • 하드디스크의 고용량화 추세에 따라 헤드의 정밀한 위치제어를 위한 큰 대역폭의 트랙추적 서보 시스템의 필요성이 대두되고 있다. 이에 작은 신호의 마찰을 제거하고 대역폭을 높이는 방법 중 하나인 2단구동기 트랙추적제어를 실시하여 큰 대역폭의 트랙 추적 서보시스템을 구성하는 방법에 대해 연구하였다. 2단구동기는 조동구동기(기존 하드디스크의 VCM)와 전단형 압전체를 부착한 미동구동기로 구성하였다. 미동구동기의 Hinge구조는 트랙 방향의 공진 주파수와 출력변위를 만족시키기 위한 구조로 설계하였다. 제어기는 notch filter와 PI 보상기를 사용하는 조동구동기와 notch filter와 PD 보상기를 사용하는 미동구동기를 다양한 구조로 구성한 것들을 비교하였다. 2단구동기는 VCM만을 사용하여 트랙 추적을 할 때보다 트랙 편심을 잘 추적하며, 기계적 공진과 VCM의 비선형성에 의해 제한된 대역폭을 개선시키는 효율적인 방법임을 확인하였다.

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Motion Analysis of a Translating Flexible Beam Carrying a Moving Mass

  • Park, Sangdeok;Youngil Youm
    • International Journal of Precision Engineering and Manufacturing
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    • v.2 no.4
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    • pp.30-39
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    • 2001
  • This paper investigates vibrational motion of a flexible beam fixed on a moving cart and carrying a moving mass. The equations of motion of the beam-mass-cart system are analysed through the unconstrained modal analysis. The exact normal mode solution used in modal analysis correspond to the eigenfrequencies for each position of the moving mass and to the ratios of the weight of the beam-mass-car system. Time solutions of normal modes are also transformed properly according to the position of the moving mass. Numerical simulations are carried out to obtain open-loop responses of the system in tracking pre-designed paths of the moving mass. The simulation results show that the model predicts the dynamic behavior of the beam-mass-cart system well. Experiments are carried out to show the validity of the proposed analytical method.

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