• 제목/요약/키워드: Two Degree of Freedom Controller

검색결과 176건 처리시간 0.021초

비선형 불확실성을 갖는 내연기관의 강인한 토크제어 (Robust Torque Control for an Internal Combustion Engine with Nonlinear Uncertainty)

  • 김영복;김준효
    • 동력기계공학회지
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    • 제13권6호
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    • pp.43-50
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    • 2009
  • If an internal combustion engine is operated by consolidated control, the minimum fuel consumption is achieved satisfying the demanded objectives. For this, it is necessary that the engine is operated on the ideal operating line which satisfies minimum fuel consumption. In this context of view, there are many tries to achieve given object. However, the parameter in the internal combustion engines are variable and depend on the operating points. Therefore, it is necessary to cope with the uncertainties such that the optimal operating may be possible. From this point of view, this paper gives a controller design method and a robust stability condition for engine torque control which satisfies the given control performance and robust stability in the presence of physical parameter perturbation. Exactly, the present paper considers a robust stability of this 2DOF servosystem with nonlinear type uncertainty in the engine system, and a robust stability condition for the servosystem is introduced. This result guarantees that if the plant uncertainty is in the permissible set defined by the given condition then a gain tuning can be carried out to suppress the influence of the plant uncertainties.

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6-자유도 쿼드로터 무인항공기의 모델링 및 유도기법 설계 (System Modeling and Waypoint Guidance Law Designing for 6-DOF Quadrotor Unmanned Aerial Vehicle)

  • 이상현;김유단
    • 한국항공우주학회지
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    • 제42권4호
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    • pp.305-316
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    • 2014
  • 항공전자 장비들의 급속한 발전으로 인해 무인항공기의 크기가 소형화 되고 있으나, 무인항공기에 대해 주어지는 임무는 더욱 정확하고 복잡해지고 있다. 정지비행이 가능하고, 간단한 기계적 메커니즘을 가진 쿼드로터는 이 같은 환경에서 활동도가 점차 증가하고 있다. 그러나 쿼드로터는 구조 특성에 따라 출력의 개수보다 입력의 개수가 작은 under actuated 시스템이므로, 쿼드로터 제어에 큰 제약이 따른다. 본 논문에서는 이와 같은 쿼드로터의 단점을 해결하기 위해서 4개의 원동기 외에 2개의 추가적인 원동기를 더 부착한 모델을 제안하여, 입력의 개수와 출력의 개수가 같은 fully actuated 시스템을 구현하도록 한다. 제안한 쿼드로터 모델의 제어기를 설계하기 위해 궤환선형화 기법을 적용하였다. 수치 시뮬레이션을 수행하여 제안한 모델과 설계된 제어기의 성능을 검증하였다.

전류와 자속의 궤환에 의한 자기베어링 시스템의 센서가 없는 변위 제어 (Displacement-Sensorless Control of Magnetic Bearing System using Current and Magnetic Flux Feedback)

  • 이준호;강민수;정용운;이정석;이기서
    • 대한전기학회논문지:시스템및제어부문D
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    • 제49권7호
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    • pp.339-345
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    • 2000
  • This paper deals with the displacement estimation of magnetically suspended simple 1 DOF(degree of freedom) system without the displacement sensor. Inherently electro-magnet for control has two natural feedback loops. One is the transfer function which represents the dependance of the amount of the magnetic flux on the gap displace-ments. The other is the transfer function expressing the properties that the back electromotive force is derived from the time derivative of the magnetic flux. Through these two feedback loops, information about the gap length can be represented by the magnetic flux and the coil current. This means that the gap length can be detected from these two states variables of the electromagnet without a displacements sensor(self-sensing). The displacement can be estimated with the magnetic flux subtracted by the coil current. In this paper we use a balance beam in order to deal with the displacement sensorless estimation of the magnetic bearing system. For the stable estimation of the gap displacements by using the method of self-sensing simple PD controller is used. We first show the mathematical model of the balance beam, and then we show the effectiveness of the current and flux feedback for making stable estimation of the gap displacements for the balance beam. Simulation results show the effectiveness of the current and flux feedback for good estimation of the displacement without using displacement sensor.

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Nonlinear stochastic optimal control strategy of hysteretic structures

  • Li, Jie;Peng, Yong-Bo;Chen, Jian-Bing
    • Structural Engineering and Mechanics
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    • 제38권1호
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    • pp.39-63
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    • 2011
  • Referring to the formulation of physical stochastic optimal control of structures and the scheme of optimal polynomial control, a nonlinear stochastic optimal control strategy is developed for a class of structural systems with hysteretic behaviors in the present paper. This control strategy provides an amenable approach to the classical stochastic optimal control strategies, bypasses the dilemma involved in It$\hat{o}$-type stochastic differential equations and is applicable to the dynamical systems driven by practical non-stationary and non-white random excitations, such as earthquake ground motions, strong winds and sea waves. The newly developed generalized optimal control policy is integrated in the nonlinear stochastic optimal control scheme so as to logically distribute the controllers and design their parameters associated with control gains. For illustrative purposes, the stochastic optimal controls of two base-excited multi-degree-of-freedom structural systems with hysteretic behavior in Clough bilinear model and Bouc-Wen differential model, respectively, are investigated. Numerical results reveal that a linear control with the 1st-order controller suffices even for the hysteretic structural systems when a control criterion in exceedance probability performance function for designing the weighting matrices is employed. This is practically meaningful due to the nonlinear controllers which may be associated with dynamical instabilities being saved. It is also noted that using the generalized optimal control policy, the maximum control effectiveness with the few number of control devices can be achieved, allowing for a desirable structural performance. It is remarked, meanwhile, that the response process and energy-dissipation behavior of the hysteretic structures are controlled to a certain extent.

Turret location impact on global performance of a thruster-assisted turret-moored FPSO

  • Kim, S.W.;Kim, M.H.;Kang, H.Y.
    • Ocean Systems Engineering
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    • 제6권3호
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    • pp.265-287
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    • 2016
  • The change of the global performance of a turret-moored FPSO (Floating Production Storage Offloading) with DP (Dynamic Positioning) control is simulated, analyzed, and compared for two different internal turret location cases; bow and midship. Both collinear and non-collinear 100-yr GOM (Gulf of Mexico) storm environments and three cases (mooring-only, with DP position control, with DP position+heading control) are considered. The horizontal trajectory, 6DOF (degree of freedom) motions, fairlead mooring and riser tension, and fuel consumptions are compared. The PID (Proportional-Integral-Derivative) controller based on LQR (linear quadratic regulator) theory and the thrust-allocation algorithm which is based on the penalty optimization theory are implemented in the fully-coupled time-domain hull-mooring-riser-DP simulation program. Both in collinear and non-collinear 100-yr WWC (wind-wave-current) environments, the advantage of mid-ship turret is demonstrated by the significant reduction in heave at the turret location due to the minimal coupling with pitch mode, which is beneficial to mooring and riser design. However, in the non-collinear WWC environment, the mid-turret case exhibits unfavorable weathervaning characteristics, which can be reduced by employing DP position and heading controls as demonstrated in the present case studies. The present study also reveals the plausible cause of the failure of mid-turret Gryphon Alpha FPSO in milder environment than its survival condition.

퍼지논리와 신경망 융합에 의한 로보트매니퓰레이터의 지능형제어 시스템 개발 (On Developing The Intellingent contro System of a Robot Manupulator by Fussion of Fuzzy Logic and Neural Network)

  • 김용호;전홍태
    • 한국지능시스템학회논문지
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    • 제5권1호
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    • pp.52-64
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    • 1995
  • 로보트 매니퓰레이터는 고도의 비선형 시변 시스템으로써 정밀한 제어가 매우 어려운 제어 대상으로 인식되어 왔으며 따라서 수많은 제어이론의 적용대상이 되어왔다. 로보트 매니퓰레이터의 제어에는 두가지 형태가 있는데 한가지는 궤적계획이고, 또한가지는 궤적 추종이다. 본 논문에서는 궤적 추종을 목적으로 하고, 이를 위해 퍼지논리와 신경회로망을 결합한 지능형 제어를 제안한다. 제안된 제어시스템은 사고 및 추론과 같은 인간의 인식처리에 해당하는 불확실한 것들의 구체화를 가능케하는 퍼지논리와 학습 및 병렬처리능력이 있는 신경회로망을 융합하여 구성된 퍼지-신경망 제어시스템이다. 그러나 이러한 장점을 갖는 퍼지-신경망 제어기도 정확한 제어 규칙의 발생은 어려은데 이는 신경회로망의 지역적 최소치에 빠지는 특성에 기인한다고 볼 수 있다. 그리고 일반적으로 시스템의 비선형 정도는 탐색에 의해서만 알수 있는 성질의 것이므로 본 논문에서는 최적의 탐색알고리듬으로 널리 인정되고 있는 유전알고리듬을 사용하여 전역적이 규칙공간을 탐색한 후 이를 바탕으로 퍼지-신경망 제어기를 완성한다. 제안된 제어시스템의 효율성은 2자유도의 로보트 매니퓰레이터를 사용하여 컴퓨터의 모의실험을 통해 입증된다.

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