• 제목/요약/키워드: Compensation Nonlinear Parameter

검색결과 43건 처리시간 0.022초

Fuzzy Pre-Compensated PI Control of Active Filters

  • Singh, Bhim;Singhal, Varun
    • Journal of Power Electronics
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    • 제8권2호
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    • pp.141-147
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    • 2008
  • This paper deals with a new and improved control technique for shunt active filters (AF) used for compensating unwanted harmonic currents injected in the mains due to nonlinear varying loads. This work is motivated by the need to find a permanent solution to the rigorous hit and trial method for evaluating system parameters in an indirect control of AF. A fuzzy pre-compensated PI (Proportional-Integral) controller is used to fuzzify the reference DC voltage of AF to the controller input so that the overshoots and undershoots in its DC link voltage are minimized and the settling time is improved. A three-phase diode rectifier with R-L (Resistive-Inductive) load is used as a non-linear load to study the effectiveness of the proposed controller of the AF. Robustness to filter parameter variations, insensitivity to controller parameter variations, and transient response has been taken as performance evaluation parameters. The results are shown through simulations in Matlab using power system block sets to demonstrate the capability of the proposed controller of the AF.

불확실성을 갖는 비선형 시스템의 퍼지 $H^{\infty}$ 제어기 설계 (Fuzzy $H^{\infty}$ Controller Design for Uncertain Nonlinear Systems)

  • 이갑래;정은태;박홍배
    • 전자공학회논문지S
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    • 제35S권6호
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    • pp.46-54
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    • 1998
  • 본 논문은 파라미터 불확실성을 갖는 비선형 시스템을 안정화하며, 폐루프 시스템의 외란감쇠에 대한 $L_{2}$ 이득 제한조건을 만족시키는 견실 퍼지 $H^{\infty}$ 제어기 설계기법을 제시한다. 불확실성을 갖는 비선형 시스템을 불확실성을 갖는 Takagi-Sugeno(T-S) 모델로 표현하고 병렬 분산 보상(PDC : parallel distributed compensation)의 개념을 이용하여 제어기를 설계한다. 파라미터 불확실성을 갖는 T-S 퍼지모델에 대한 감쇠율을 만족하는 폐루프 시스템의 안정성 조건과 Lyapunov 함수를 이용하여 외란감쇠 조건을 유도하고, 선형 행렬 부등식(LMI: linear matrix inequality)을 이용하여 견실 퍼지 $H^{\infty}$ 제어기가 존재할 충분조건을 구한다. 마지막으로 불확실성을 갖는 비선형 시스템에 대한 퍼지 $H^{\infty}$ 제어기 설계 예를 보인다.

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선형모터 정밀 위치제어를 위한 비선형 동적 마찰력 보상기를 갖는 적응 제어기 설계 (A Design of Adaptive Controller with Nonlinear Dynamic Friction Compensator for Precise Position Control of Linear Motor System)

  • 이진우;조현철;이영진;이권순
    • 전기학회논문지
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    • 제56권5호
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    • pp.944-957
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    • 2007
  • In general mechanical servo systems, friction deteriorates the performance of controllers by its nonlinear characteristics. Especially, friction phenomenon causes steady-state tracking errors and limit cycles in position and velocity control systems, even though gains of controllers are tuned well in linear system model. Even if sensor is used higher accuracy level, it is difficult to improve tracking performance of the position to the same level with a general control method such as PID type. Therefore, many friction models were proposed and compensation methods have been researched actively. In this paper, we consider that the variation of mover's mass is various by loading and unloading. The normal force variation occurs by it and other parameters. Therefore, the proposed control system is composed of main position controller and a friction compensator. A parameter estimator for a nonlinear friction model is designed by adaptive control law and adaptive backstopping control method.

비선형 함대함 미사일의 적응 디지털 제어기 설계 (Adaptive and Digital Autopilot Design for Nonlinear Ship-to-Ship Missiles)

  • 임기홍;최진영
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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    • pp.619-621
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    • 2005
  • This paper proposes apractical design method for ship-to-ship missiles' autopilot. When the pre-designed analogue autopilot is implemented in digital way, theygenerally suffer from severe performance degradation and instability problem even for a sufficiently small sampling time. Also, aerodynamic uncertainties can affect the overall stability and this happens more severely when the nonlinear autopilot is digitally implemented. In order to realize a practical autopilot, two main issues, digital implementation problem and compensation for the aerodynamic uncertainties, are considered in this paper. MIMO (multi-input multi-output) nonlinear autopilot is presented first and the input and output of the missile are discretized for implementation. In this step, the discretization effect is compensated by designing an additional control input. Finally, we design a parameter adaptation law to compensate the control performance. Stability analysis and 6-DOF (degree-of-freedom) simulations are presented to verify the proposed adaptive autopilot.

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XY 테이블의 퍼지 데드존 보상 (Deadzone compensation of a XY table using fuzzy logic)

  • 장준오
    • 전자공학회논문지SC
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    • 제41권2호
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    • pp.17-28
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    • 2004
  • 퍼지논리를 이용한 XY 테이블의 데드존 보상기법을 제안한다. 퍼지논리 함수의 분류특성은 다양한 영역을 가진 데드존에 의해 유발되는 오차를 제거하기 위한 보상기 설계를 가능케 한다. 데드존 보상이 적응적이고 추적오차와 파라미터 추정치가 유계가 되는 퍼지논리 파라미터 동조알고리듬과 안정도 증명을 제시한다. 퍼지논리 데드존 보상기를 위치 테이블에 실험함으로써 데드존의 해로운 영향을 줄이는 효과를 보여준다.

인버터 연계형 분산전원을 이용한 배전계통 고조파 전류 보상원리 (Harmonic Current Compensation Method Using Inverter-Interfaced Distributed Generators)

  • 정일엽;강현구
    • 전기학회논문지
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    • 제60권2호
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    • pp.279-284
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    • 2011
  • Harmonic distortions in current waveform may cause significant problems in electric power system facility and operation. This paper presents an adaptive parameter estimation method to detect harmonic current components caused by nonlinear loads. In addition, a coordination strategy for multiple inverter-interfaced distributed generators to compensate the harmonic currents is discussed. The coordination strategy is realized by distributing the harmonic compensation participation index to individual distributed generators. The harmonic compensation participation index can be determined by the amount of remaining power generation capacity of each distributed generator. Simulation results based on switching-level inverter models show that the proposed harmonic detection method has good performance and the coordination strategy can improve harmonic problems efficiently.

Sampled-Data Modeling and Dynamic Behavior Analysis of Peak Current-Mode Controlled Flyback Converter with Ramp Compensation

  • Zhou, Shuhan;Zhou, Guohua;Zeng, Shaohuan;Xu, Shungang;Cao, Taiqiang
    • Journal of Power Electronics
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    • 제19권1호
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    • pp.190-200
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    • 2019
  • The flyback converter, which can be regarded as a nonlinear time-varying system, has complex dynamics and nonlinear behaviors. These phenomena can affect the stability of the converter. To simplify the modeling process and retain the information of the output capacitor branch, a special sampled-data model of a peak current-mode (PCM) controlled flyback converter is established in this paper. Based on this, its dynamic behaviors are analyzed, which provides guidance for designing the circuit parameters of the converter. With the critical stability boundary equation derived by a Jacobian matrix, the stable operation range with a varied output capacitor, proportional coefficient of error the amplifier, input voltage, reference voltage and slope of the compensation ramp of a PCM controlled flyback converter are investigated in detail. Research results show that the duty ratio should be less than 0.5 for a PCM controlled flyback converter without ramp compensation to operate in a stable state. The stability regions in the parameter space between the output capacitor and the proportional coefficient of the error amplifier are enlarged by increasing the input voltage or by decreasing the reference voltage. Furthermore, the ramp compensation also can extend to the stable region. Finally, time-domain simulations and experimental results are presented to verify the theoretical analysis results.

PD 기반의 퍼지제어기로 제어된 로봇의 새로운 신경회로망 보상 제어 기술 (A Novel Neural Network Compensation Technique for PD-Like Fuzzy Controlled Robot Manipulators)

  • 송덕희;정슬
    • 제어로봇시스템학회논문지
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    • 제11권6호
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    • pp.524-529
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    • 2005
  • In this paper, a novel neural network compensation technique for PD like fuzzy controlled robot manipulators is presented. A standard PD-like fuzzy controller is designed and used as a main controller for controlling robot manipulators. A neural network controller is added to the reference trajectories to modify input error space so that the system is robust to any change in system parameter variations. It forms a neural-fuzzy control structure and used to compensate for nonlinear effects. The ultimate goal is same as that of the neuro-fuzzy control structure, but this proposed technique modifies the input error not the fuzzy rules. The proposed scheme is tested to control the position of the 3 degrees-of-freedom rotary robot manipulator. Performances are compared with that of other neural network control structure known as the feedback error learning structure that compensates at the control input level.

이동로봇의 퍼지 데드존 보상 (FL Deadzone Compensation of a Mobile robot)

  • 장준오
    • 전자공학회논문지
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    • 제50권4호
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    • pp.191-202
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    • 2013
  • 이동로봇의 역학 제어기와 퍼지 데드존 보상기가 결합된 제어구조를 제안한다. 데드존 보상이 적응적이고 추적오차와 파라미터 추정치가 유계가 되는 퍼지논리 파라미터 동조알고리듬과 안정도 증명을 제시한다. 퍼지논리 데드존 보상기를 이동로봇에 시뮬레이션 및 실험함으로써 데드존의 해로운 영향을 줄이는 효과를 보여준다.

Load Disturbance Compensation for Stand-alone Inverters Using an Inductor Current Observer

  • Choe, Jung-Muk;Moon, Seungryul;Byen, Byeng-Joo;Lai, Jih-Sheng;Lim, Young-Bae;Choe, Gyu-Ha
    • Journal of Power Electronics
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    • 제17권2호
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    • pp.389-397
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    • 2017
  • A control scheme for stand-alone inverters that utilizes an inductor current observer (ICO) is proposed. The proposed method measures disturbance load currents using a current sensor and it estimates the inductor current using the ICO. The filter parameter mismatch effect is analyzed to confirm the ICO's controllability. The ICO and controllers are designed in a continuous-time domain and transferred to a discrete-time domain with a digital delay. Experimental results demonstrate the effectiveness of the ICO using a 5-kVA single-phase stand-alone inverter prototype. The experimental results demonstrate that the observed current matches the actual current and that the proposed method can archive a less than 2.4% total harmonic distortion (THD) sinusoidal output waveform under nonlinear load conditions.