• 제목/요약/키워드: nonlinear compensator

검색결과 182건 처리시간 0.02초

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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3상 직렬형 능동필터의 입력전압변동에 대한 전향보상이득에 관한 연구 (A Study on Gain of Feedforward Compensator about Source Voltage Variation of Three-phase Series Active Power Filter)

  • 권형남;남종하;강병희;최규하;한석우
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2001년도 추계학술대회 논문집
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    • pp.97-101
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    • 2001
  • Recently, as the development of industry, the nonlinear load becomes increased. Because of nonlinear load, the variation of source voltage is generated by the impedace of source side flowed harmonic currents. For blocking harmonic currents by nonlinear load, a series active power filter operates blocking resistance of harmonic currents. The value of blocking resistance shows ideal compensating characteristic out of theoretically infinite value. But the blocking resistance is limited by the problem of the system stability and the capacity of inverter. In this paper, the value of optimum blocking resistance is found by a simulation in the applied system. In the case of unbalanced source voltages, each relation of the blocking resistance is shown. It is proved that blocking resistance of series active power filter relates to a passive filter.

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Van de Vusse 반응기 동특성을 구현하는 액위시스템 및 제어 실험 (Liquid Level System Realizing Van de Vusse Reactor Dynamics and its Control Experiments)

  • 이지태
    • Korean Chemical Engineering Research
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    • 제58권2호
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    • pp.184-189
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    • 2020
  • Van de Vusse 반응기는 정상상태 입출력 관계에서 최대값을 그리고 이 최대값을 기준으로 동특성의 형태가 크게 바뀌는 특성을 보인다. 운전영역에 따라 정상상태 이득의 부호가 바뀌고, non-minimum phase 동특성 등의 제어를 매우 어렵게 하는 특성들이 나타난다. 매우 많은 비선형제어 방법들과 새로이 고안되고 있는 방법들이 이 Van de Vusse 반응기 공정에 적용되어 그 성능 검증이 이루어지고 있다. 이 반응기의 실제 예가 보고되어 있으나, 화학반응 특성상 제어기 실험에 일상적으로 사용되기에는 어려움이 많아 대부분 모사연구에 그치고 있다. 여기서는 이 Van de Vusse 반응기의 특성을 모두 구현하는 액위시스템을 제작하고, 새로이 고안되는 비선형 제어기의 성능을 밝히는 기준이 될 수 있는 간단한 두 제어 방법의 실험 결과를 제안하고자 한다. 액위시스템 실험장치와 제안된 제어 방법들은 매우 간단하며, 비선형 제어기의 성능과 현장 적용 가능성을 검증하는데 유용하게 사용될 수 있을 것이다.

신경망을 이용한 전기차동차의 속도오차 보상 (Speed Error Compensation of Electric Differential System Using Neural Network)

  • 유영재;이주상;임영철;장영학;김의선;문채주
    • 제어로봇시스템학회논문지
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    • 제7권1호
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    • pp.1205-1210
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    • 2001
  • This paper describes a methodology using neural network to compensate the nonlinear error of deriving speed for electric differential system included in electric vehicle. An electric differential system which drives each of the left and right wheels of the electric vehicle independently. The electric vehicle driven by induction motor has the nonlinear speed error which depends on a steering angle and speed command. When a vehicle drives along a curved road lane, the speed unblance of inner and outer wheels makes vehicles vibration and speed reduction. To compensate for the speed error, we collected the speed data of the inner wheel and outer wheel in various speed and the steering angle data by using an manufactured electric vehicle and the real system. According to the analysis of the acquisited data, we designed the differential speed control system based on a speed error compensator using neural network.

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내연기관의 강인한 토크제어를 위한 제어계 설계법 (Design of Robust Torque Controller for an Internal Combustion Engine with Uncertainty)

  • 김영복;정정순;이권순;강희영
    • 제어로봇시스템학회논문지
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    • 제16권11호
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    • pp.1029-1037
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    • 2010
  • If an internal combustion engine is operated by consolidated control, the minimum fuel consumption is achieved and the demanded objectives are satisfied. 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 parameters 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, in this paper, we consider the robust stability problem of this 2DOF servosystem with nonlinear type uncertainty in the engine system, and a robust stability condition for the servosystem is shown. 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.

PID 제어 기술을 이용한 비선형 유압 시스템의 강인 제어 (Robust Control of the Nonlinear Hydraulic Servo System Using a PID Control Technique)

  • 유삼현;이종원
    • 대한기계학회논문집A
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    • 제25권5호
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    • pp.850-856
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    • 2001
  • Even though the hydraulic servo system has been widely used in industrial and military equipments since it has a lot of advantages, it is not easy to design controller due to the high nonlinearities and the parametric uncertainties. The dynamic behavior of the real process in the hydraulic servo system differs from that described by its model because the model is linearized. Another reason of the difference is caused by the variety of parameters, since the system parameters of the dynamic equation are affected by the operating conditions such as temperature and pressure. In this study, the designing process of the MRNC with a PID compensator is introduced and applied to the load sensing hydraulic servo system. The results show that the designed controller guarantees the robust control performance despite of both the nonlinearities and the parametric uncertainties.

A High-Performnce Sensorloss Control System of Reluctance Synchronous Motor with Direct Torque Control by Consideration of Nonlinerarly Inductances

  • Kim, Min-Huei;Kim, Nam-Hun;Baik, Won-Sik
    • Journal of Power Electronics
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    • 제2권2호
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    • pp.146-153
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    • 2002
  • this paper presents an implementation of digital control system of speed sensorless for Reluctance Synchronous Motor (RSM) drives with direct torque control (DTC). The problem of DTC for high-dynamic performance RSM drive is generating a nonlinear torque due to a saturated nonlinear inductance curve with various load currents. The control system consists of stator flux observer, compensating inductance look-up table, rotor position/speed/torque estimator, two hysteresis band controllers, an optimal switching look-up table, IGBT voltage source unverter, and TMS320C31 DSP controller. The stator flux observer is based on the combined voltage and current model with stator flux feedback adapitve control that inputs are the compensated inductances, current and voltage sensing of motor terminal with estimated rotor angle for wide speed range. The rotor position is estimated rotor speed is determined by differentiation of the rotor position used only in the current model part of the flux observer for a low speed operation area. It does not requrie the knowledge of any montor paramenters, nor particular care for moter starting, In order to prove the suggested control algorithm, we have simulation and testing at actual experimental system. The developed sensorless control system is showing a good speed control response characterisitic result and high performance features in 20/1500 rpm with 1.0Kw RSM having 2.57 ratio of d/q reluctance.

신경망을 이용한 이동 로봇의 실시간 고속 정밀제어 (High Speed Precision Control of Mobile Robot using Neural Network in Real Time)

  • 주진화;이장명
    • 제어로봇시스템학회논문지
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    • 제5권1호
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    • pp.95-104
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    • 1999
  • In this paper we propose a fast and precise control algorithm for a mobile robot, which aims at the self-tuning control applying two multi-layered neural networks to the structure of computed torque method. Through this algorithm, the nonlinear terms of external disturbance caused by variable task environments and dynamic model errors are estimated and compensated in real time by a long term neural network which has long learning period to extract the non-linearity globally. A short term neural network which has short teaming period is also used for determining optimal gains of PID compensator in order to come over the high frequency disturbance which is not known a priori, as well as to maintain the stability. To justify the global effectiveness of this algorithm where each of the long term and short term neural networks has its own functions, simulations are peformed. This algorithm can also be utilized to come over the serious shortcoming of neural networks, i.e., inefficiency in real time.

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모델 불확실성을 가지는 로봇 시스템을 위한 지능형 슬라이딩 모드 제어 (Intelligent Sliding Mode Control for Robots Systems with Model Uncertainties)

  • 유성진;최윤호;박진배
    • 제어로봇시스템학회논문지
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    • 제14권10호
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    • pp.1014-1021
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    • 2008
  • This paper proposes an intelligent sliding mode control method for robotic systems with the unknown bound of model uncertainties. In our control structure, the unknown bound of model uncertainties is used as the gain of the sliding controller. Then, we employ the function approximation technique to estimate the unknown nonlinear function including the width of boundary layer and the uncertainty bound of robotic systems. The adaptation laws for all parameters of the self-recurrent wavelet neural network and those for the reconstruction error compensator are derived from the Lyapunov stability theorem, which are used for an on-line control of robotic systems with model uncertainties and external disturbances. Accordingly, the proposed method can not only overcome the chattering phenomenon in the control effort but also have the robustness regardless of model uncertainties and external disturbances. Finally, simulation results for the five-link biped robot are included to illustrate the effectiveness of the proposed method.

Analysis of a shimming aircraft NLG controlled by the modified simple adaptive control

  • Alaimo, Andrea;Orlando, Calogero
    • Advances in aircraft and spacecraft science
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    • 제7권5호
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    • pp.459-473
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    • 2020
  • The aircraft nose landing gear (NLG) can suffer of an unstable vibration called shimmy that is responsible of discomfort and of fatigue stress on the gear strut components. An adaptive controller is proposed in this paper to cope with the aforementioned problem. It is based on a method called Modified Simple Adaptive control (MSAC) which is able of governing the NLG motion by using a feedback signal that relies on just one output of the plant. The MSAC only asks for the passivity of the controlled plant. With this aim, a parallel feedforward compensator is employed in this work to let the system satisfies the almost strictly passivity (ASP) requirements. The nonlinear equations that govern the aircraft NLG shimmy vibration behavior are used to analyzed the controlled system transient response undergoing an initial disturbance and taking into account different taxiing speed values.