• Title/Summary/Keyword: system uncertainty

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Sliding Mode Control for a High-Load Wheeled Mobile Robot (중하중을 받는 이동로붓의 슬라이딩모드 제어)

  • 홍대희;정재훈
    • Journal of the Korean Society for Precision Engineering
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    • v.17 no.5
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    • pp.145-153
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    • 2000
  • This paper discusses the dynamic modeling and robust control development for a differentially steered mobile robot subject to wheel slip according to high load. Consideration of wheel slip is crucial for high load applications such as construction automation tasks because wheel slip acts as a severe disturbance to the system. It is shown that the uncertainty terms due to the wheel slip satisfy the matching condition for the sliding mode control design. From the full dynamic model of the mobile robot, a reduced ideal model is extracted to facilitate the control design. The sliding mode control method ensures the dynamic tracking performance for such a mobile robot. Numerical simulation shows the promise of the developed algorithm.

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Robust Predictive Control of Robot Manipulators with Uncertainties (불확실 로봇 매니퓰레이터의 견실 예측 제어기 설계)

  • 김정관;한명철
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.1
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    • pp.10-14
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    • 2004
  • We present a predictive control algorithm combined with the robust robot control that is constructed on the Lyapunov min-max approach. Since the control design of a real manipulator system may often be made on the basis of the imperfect knowledge about the model, it is an important trend to design a robust control law that guarantees the desired properties of the manipulator under uncertain elements. In the preceding robust control work, we need to tune several control parameters in the admissible set where the desired stability can be achieved. By introducing an optimal predictive control technique in robust control we can find out much more deterministic controller for both the stability and the performance of manipulators. A new class of robust control combined with an optimal predictive control is constructed. We apply it to a simple type of 2-link robot manipulator and show that a desired performance can be achieved through the computer simulation.

Robust $H_{\infty}$ Controller for State and Input Delayed Systems with Structured Uncertainties (구조화된 불확실성과 상태와 입력에 시간지연이 있는 시스템을 위한 강인 $H_{\infty}$ 제어기)

  • Lee, Joon-Hwa;Moon, Young-Soo;Kwon, Wook-Hyun
    • Journal of Institute of Control, Robotics and Systems
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    • v.3 no.4
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    • pp.338-342
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    • 1997
  • 본 논문에서는 상태와 입력에 시간지연과 구조화된 불확실성이 있는 시스템을 위한 강인 H/sub .inf./ 제어기를 제안한다. 제안된 제안기는 시간지연의 크기에 관계없이 항상 불확실한 시스템을 안정화시키고, 또한 제한된 크기의 어떤 구조화된 불확실성에 대해서도 항상 폐루프 전달함수의 H/sub .inf./ 노옴의 크기를 주어진 레벨 이하로 줄인다. 제어기는 볼록 최적화 알고리즘을 이용한 LMI 문제를 풀어서 구한다.

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Evaluation of Popular Photometry Analysis Softwares Using DSLR Camera

  • Shim, Hyunjin
    • Journal of the Korean earth science society
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    • v.38 no.5
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    • pp.323-332
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    • 2017
  • The Digital Single Lens Reflex (DSLR) camera combined with a small aperture telescope is an efficient equipment for an astronomy-related lab exercise. This paper compares the different photometry softwares to provide insights on using the GUI-based photometry tool to the conventional command-line based photometry tool. The magnitude of the same point source measured within the aperture is consistent regardless of the software used although the background estimation, partial pixel treatment, and error estimation are slightly different. In a crowded field image where the aperture photometry is less reliable, the aperture photometry with varying aperture size is useful to see the qualitative trend for the magnitude. Due to the variation in ISO settings and the color dependence on the RGB Bayer system, an initial uncertainty of ~0.15mag is expected to be embedded in the magnitude derived from the DSLR images.

Robust State Feedback Control of Asynchronous Sequential Machines and Its Implementation on VHDL (비동기 순차 머신의 강인한 상태 피드백 제어 및 VHDL 구현)

  • Yang, Jung-Min;Kwak, Seong-Woo
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.12
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    • pp.2484-2491
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    • 2009
  • This paper proposes robust state feedback control of asynchronous sequential machines with model uncertainty. The considered asynchronous machine is deterministic, but its state transition function is partially known before executing a control process. The main objective is to derive the existence condition for a corrective controller for which the behavior of the closed-loop system can match a prescribed model in spite of uncertain transitions. The proposed control scheme also has learning ability. The controller perceives true state transitions as it undergoes corrective actions and reflects the learned knowledge in the next step. An adaptation is made such that the controller can have the minimum number of state transitions to realize a model matching procedure. To demonstrate control construction and execution, a VHDL and FPGA implementation of the proposed control scheme is presented.

Absolute Evaluation of Inductor Using Current Transformer Comparator (전류변성기 비교기를 이용한 인덕터의 절대 평가)

  • Kim, Yoon-Hyoung;Jung, Jae-Kap;Han, Sang-Gil;Kim, Han-Jun;Han, Sang-Ok
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.57 no.3
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    • pp.279-284
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    • 2008
  • We have developed two absolute evaluation technology of inductor using current transformer (CT) comparator. One is the method that the reactance of inductor is obtained by analysing the equivalent circuit of CT with inductor connected to series at secondary terminal of CT. The other is the method that the reactance of inductor is obtained by comparing phase displacement of current flowing on inductor by using CT comparator. These technologies have the advantage to apply up to rated current and voltage of inductor. The method was applied to inductors under test in the range of $100 {\mu}H{\sim}1\;H$. The inductance of the inductor under test obtained in this study are consistent with those measured by LCR meter using the same inductor within an expanded uncertainty (k = 2) in the overall range of inductance.

A Study on the Reliability Characteristic Curve of Transmission System considering Outage's Uncertainty (설비고장의 불확실성을 고려한 송전계통의 공급신뢰도 특성곡선에 관한 연구)

  • Jeon, D.H.;Jeon, Y.S.;Choi, Y.D.;Kim, K.J.
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.48-49
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    • 2008
  • 설비고장의 불확실성을 고려하여 송전계통의 공급신뢰도 특성을 명확하게 나타낼 수 있는 곡선을 제안하였다. 송전계통의 공급신뢰도 특성곡선은 송전계통에서 $T_{Total}$ 기간동안 발생한 공급지장 유발고장의 수나 각각의 경우에 대한 공급지장전력, 고장지속시간 등 설비고장의 불확실성에 상관없이 공급지장전력, 고장지속시간, 공급지장에너지간의 관계를 $y=ax^{-1}$ 형태의 곡선으로 나타낸 것이다. 송전계통의 공급신뢰도 특성곡선은 계통규모(년도별, 국가별)에 상관없이 동일한 모양을 가지게 되는데, Energy Impact of Reliability(EIR) 등을 확률론적 공급신뢰도 기준으로 사용함으로써 동등한 조건에서 계통규모 및 신뢰도 수준을 절대적으로 비교할 수 있는 신뢰도 지표로 활용할 수 있다.

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Design of DNP Controller for Robust Control Auto-Systems (DNP에 의한 자동화 시스템의 강인제어기 설계)

  • 김종옥;조용민;민병조;송용화;조현섭
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 1999.11a
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    • pp.121-126
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    • 1999
  • In this paper, to bring under robust and accurate control of auto-equipment systems which disturbance, parameter alteration of system, uncertainty and so forth exist, neural network controller called dynamic neural processor(DNP) is designed. In order to perform a elaborate task like as assembly, manufacturing and so forth of components, tracking control on the trajectory of power coming in contact with a target as well as tracking control on the movement course trajectory of end-effector is indispensable. Also, the learning architecture to compute inverse kinematic coordinates transformations in the manipulator of auto-equipment systems is developed and the example that DNP can be used is explained. The architecture and learning algorithm of the proposed dynamic neural network, the DNP, are described and computer simulations are provided to demonstrate the effectiveness of the proposed learning method using the DNP.

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Reliability Analysis Method with Variable Sampling Points (가변적인 샘플링을 이용한 신뢰도 해석 기법)

  • Yook, Sun-Min;Choi, Dong-Hoon
    • Proceedings of the KSME Conference
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    • 2008.11a
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    • pp.1162-1168
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    • 2008
  • This study provides how the Dimension Reduction (DR) method as an efficient technique for reliability analysis can acquire its increased efficiency when it is applied to highly nonlinear problems. In the highly nonlinear engineering systems, 4N+1 (N: number of random variables) sampling is generally recognized to be appropriate. However, there exists uncertainty concerning the standard for judgment of non-linearity of the system as well as possibility of diverse degrees of non-linearity according to each of the random variables. In this regard, this study judged the linearity individually on each random variable after 2N+1 sampling. If high non-linearity appeared, 2 additional sampling was administered on each random variable to apply the DR method. The applications of the proposed sampling to the examples produced the constant results with increased efficiency.

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GLOBAL ROBUST STABILITY OF TIME-DELAY SYSTEMS WITH DISCONTINUOUS ACTIVATION FUNCTIONS UNDER POLYTOPIC PARAMETER UNCERTAINTIES

  • Wang, Zengyun;Huang, Lihong;Zuo, Yi;Zhang, Lingling
    • Bulletin of the Korean Mathematical Society
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    • v.47 no.1
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    • pp.89-102
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    • 2010
  • This paper concerns the problem of global robust stability of a time-delay discontinuous system with a positive-defined connection matrix under polytopic-type uncertainty. In order to give the stability condition, we firstly address the existence of solution and equilibrium point based on the properties of M-matrix, Lyapunov-like approach and the theories of differential equations with discontinuous right-hand side as introduced by Filippov. Second, we give the delay-independent and delay-dependent stability condition in terms of linear matrix inequalities (LMIs), and based on Lyapunov function and the properties of the convex sets. One numerical example demonstrate the validity of the proposed criteria.