• 제목/요약/키워드: I-PD Controller

검색결과 52건 처리시간 0.023초

A High-Performance Induction Motor Drive with 2DOF I-PD Model­Following Speed Controller

  • El-Sousy Fayez F. M.
    • Journal of Power Electronics
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    • 제4권4호
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    • pp.217-227
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    • 2004
  • A robust controller that combines the merits of the feed-back, feed-forward and model-following control for induction motor drives utilizing field orientation control is designed in this paper. The proposed controller is a two-degrees-of­freedom (2DOF) integral plus proportional & rate feedback (I-PD) speed controller combined with a model-following (2DOF I-PD MFC) speed controller. A systematic mathematical procedure is derived to find the parameters of the 2DOF I-PD MFC speed controller according to certain specifications for the drive system. Initially, we start with the I-PD feed­back controller design, then we add the feed-forward controller. These two controllers combine to form the 2DOF I-PD speed controller. To realize high dynamic performance for disturbance rejection and set point tracking characterisitics, a MFC controller is designed and added to the 2DOF I-PD controller. This combination is called a 2DOF I-PD MFC speed controller. We then study the effect of the 2DOF I-PD MFC speed controller on the performance of the drive system under different operating conditions. A computer simulation is also run to demonstrate the effectiveness of the proposed controller. The results verify that the proposed 2DOF I-PD MFC controller is more accurate and more reliable in the presence of load disturbance and motor parameter variations than a 2DOF I-PD controller without a MFC. Also, the proposed controller grants rapid and accurate responses to the reference model, regardless of whether a load disturbance is imposed or the induction machine parameters vary.

Design of Fuzzy PD+I Controller Based on PID Controller

  • Oh, Sea-June;Yoo, Heui-Han;Lee, Yun-Hyung;So, Myung-Ok
    • 한국항해항만학회지
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    • 제34권2호
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    • pp.117-122
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    • 2010
  • Since fuzzy controllers are nonlinear, it is more difficult to set the controller gains and to analyse the stability compared to conventional PID controllers. This paper proposes a fuzzy PD+I controller for tracking control which uses a linear fuzzy inference(product-sum-gravity) method based on a conventional linear PID controller. In this scheme the fuzzy PD+I controller works similar to the control performance as the linear PD plus I(PD+I) controller. Thus it is possible to analyse and design an fuzzy PD+I controller for given systems based on a linear fuzzy PD controller. The scaling factors tuning scheme, another topic of fuzzy controller design procedure, is also introduced in order to fine performance of the fuzzy PD+I controller. The scaling factors are adjusted by a real-coded genetic algorithm(RCGA) in off-line. The simulation results show the effectiveness of the proposed fuzzy PD+I controller for tracking control problems by comparing with the conventional PID controllers.

A Vector-Controlled PMSM Drive with a Continually On-Line Learning Hybrid Neural-Network Model-Following Speed Controller

  • EI-Sousy Fayez F. M.
    • Journal of Power Electronics
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    • 제5권2호
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    • pp.129-141
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    • 2005
  • A high-performance robust hybrid speed controller for a permanent-magnet synchronous motor (PMSM) drive with an on-line trained neural-network model-following controller (NNMFC) is proposed. The robust hybrid controller is a two-degrees-of-freedom (2DOF) integral plus proportional & rate feedback (I-PD) with neural-network model-following (NNMF) speed controller (2DOF I-PD NNMFC). The robust controller combines the merits of the 2DOF I-PD controller and the NNMF controller to regulate the speed of a PMSM drive. First, a systematic mathematical procedure is derived to calculate the parameters of the synchronous d-q axes PI current controllers and the 2DOF I-PD speed controller according to the required specifications for the PMSM drive system. Then, the resulting closed loop transfer function of the PMSM drive system including the current control loop is used as the reference model. In addition to the 200F I-PD controller, a neural-network model-following controller whose weights are trained on-line is designed to realize high dynamic performance in disturbance rejection and tracking characteristics. According to the model-following error between the outputs of the reference model and the PMSM drive system, the NNMFC generates an adaptive control signal which is added to the 2DOF I-PD speed controller output to attain robust model-following characteristics under different operating conditions regardless of parameter variations and load disturbances. A computer simulation is developed to demonstrate the effectiveness of the proposed 200F I-PD NNMF controller. The results confirm that the proposed 2DOF I-PO NNMF speed controller produces rapid, robust performance and accurate response to the reference model regardless of load disturbances or PMSM parameter variations.

A Design of I-PD Controller using CDM

  • Choo, Yeon-Gyu;Lee, Kwang-Seok;Kim, Hyun-Deok;Lee, Chang-Ho;Kim, Seong-Cheol
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2007년도 추계종합학술대회
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    • pp.681-684
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    • 2007
  • This paper proposed and designed I-PD Controller using Shunji Manabe's CDM. The designed controller is applied to a level control system. The designed I-PD controller is smaller steady state error and get a specific response. A simulation results, the designed controller was better than a Fuzzy I-PD controller on a level control system.

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간편간접추론방법을 이용한 비선형 퍼지 I+PD 제어기의 설계 (Design of Nonlinear Fuzzy I+PD Controller Using Simplified Indirect Inference Method)

  • 채창현;채석;박재완;윤명기
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 G
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    • pp.2898-2901
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    • 1999
  • This paper describes the design of nonlinear fuzzy I+PD controller using simplified indirect inference method. First, the fuzzy I+PD controller is derived from the conventional continuous time linear I+PD controller. Then the fuzzification, control-rule base, and defuzzification using SIIM in the design of the fuzzy controller are discussed in detail. The resulting controller is a discrete time fuzzy version of the conventional I+PD controller. which has the same linear structure. but are nonlinear functions of the input signals. The proposed controller enhances the self-tuning control capability. Particularly when the process to be controlled is nonlinear When the SIIM is applied, the fuzzy inference results can be calculated with splitting fuzzy variables into each action component and are determined as the functional form of corresponding variables. So the proposed method has the capability of the high speed inference and adapting with increasing the number of the fuzzy input variables easily. Computer simulation results have demonstrated the superior to the control performance of the one Proposed by D. Misir et at.

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2개의 은닉층을 가진 신경망에 의한 확대 I-PD제어계의 구성 (Construction of the expanded I-PD control system by Neural network with two hidden layers)

  • 강동원;김대성;하홍곤;고태언
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 1999년도 학술대회논문집-국제 전기방전 및 플라즈마 심포지엄 Proceedings of 1999 KIIEE Annual Conference-International Symposium of Electrical Discharge and Plasma
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    • pp.256-261
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    • 1999
  • Many control techniques have been proposed in order to improve the control performance of discrete-time domain control system. In the position control system using a DC servo motor as control system, the response-characteristic of system is controlled by the I-PD controller. In the I-PD longer if gains of I-PD controller are unsuitable. In this paper, therefore, a expanded I-PD control system is constructed by inserting a pre-compensator at out terminal of I-PD controller. It is implemented by neural network with two hidden layers. From the result of computer simulation in the proposed control algorithm, its usefulness is verified.

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위치제어를 위한 I-PD제어계에서 PD제어기의 설계 (Design of the PD Controller in the I-PD Control System for Position Control)

  • 김성대
    • 융합신호처리학회논문지
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    • 제10권4호
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    • pp.262-266
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    • 2009
  • 산업 현장에서 요구하는 위치제어계는 고속, 고정밀의 제어를 만족하여야 하므로, 취급과 제어가 용이하고 응답특성이 우수한 직류 서보 전동기를 많이 이용하고 있다. 위치제어계에서 제어 성능을 개선시키기 위해서 많은 위치제어기법들이 제안되어져 왔다. 본 논문에서는 I-PD 위치제어계에서 PD제어기를 설계할 수 있는 설계법을 제안하였다. 제안한 설계법은 계의 전달함수를 정규화하여 제어계에서 제어기의 계수들이 결정되도록 하였다. 그리고 계의 안정조건과 근의 조건을 수학적으로 유도하였다. 이 방법을 I-PD제어계에 적용하여 PD제어기의 비례 및 미분 계수를 결정하였다. 그리고 이 제어기법을 적용한 I-PD 제어계를 시뮬레이션하여 계단 입력신호 및 외란 인가 시 계의 응답을 고찰하여 제안한 제어기법의 유효성을 검토하였다.

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다층 신경망에 의한 I-PD 제어계의 구성 (Construction of the I-PD Control System by Multilayer Neural Network)

  • 고태언
    • 융합신호처리학회논문지
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    • 제3권1호
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    • pp.74-79
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    • 2002
  • 많은 제어기법들이 이산시간영역제어계에서 제어성능을 개선하기 위해서 제안되고 있다. 이 제어기법들을 이용한 제어계에서 계의 응답특성은 제어기의 이득에 관계한다. 특히 외란이나 부하변동에 의해서 계의 응답이 변할 때 제어기의 이득을 재조정할 필요가 있다. 본 논문에서는 다층 신경망으로 I-PD제어기와 전치보상기를 설계하였다. I-PD제어기와 전치보상기의 이득이 자동적으로 역전파 알고리즘에 의해서 조정되도록 하였다. 제어계의 응답이 어떤 조건에 의해서 변할 때 I-PD제어기와 전치보상기의 이득들이 역전파 알고리즘에 의해서 자동적으로 조정되게 하였다. 이 I-PD제어기법을 직류 서보 전동기를 구동원으로 하는 위치제어계에 적용하여 제어기의 제어성능을 실험 결과로 타당성을 확인하였다.

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신경망 전치보상기를 갖는 확대 I-PD제어기의 설계 (The design of the expanded I-PD Controller with the Neuro-precompensator)

  • 하홍곤
    • 한국정보통신학회논문지
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    • 제4권3호
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    • pp.619-625
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    • 2000
  • 많은 제어기법들이 이산시간영역제어계의 제어성능을 개선시키기 위해서 제안되고 있다. 위치제어계에서 일반적으로 제어기의 출력이 제어대상의 입력으로 사용된다. 그러나 불필요한 잡음이 제어기의 출력에 포함된다. 그러므로 이러한 잡음을 제거하기 위해서 전치보상기를 사용할 필요가 있다. 본 논문에서 전치보상기를 갖는 확대 I-PD 제어계를 구성하였고 이 전치보상기와 I-PD 제어기를 신경망으로 설계하였다. 그리고 전치보상기와 I-PD제어기의 계수들이 계의 응답특성들이 어떤 조건 하에서 변할 때 계의 희망하는 응답이 되도록 자동적으로 조정되도록 하였다.

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A GA based on-line tuning of robust minimax I-PD controller with penalty on manipulated variable

  • Kawabe, Tohru;Tagami, Takanori;Katayama, Tohru
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1995년도 Proceedings of the Korea Automation Control Conference, 10th (KACC); Seoul, Korea; 23-25 Oct. 1995
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    • pp.428-431
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    • 1995
  • In this paper we propose an on-line tuning method by using genetic algorithm for robust minimax I-PD controller based on new criterion. The new criterion is the Integral of Squared Error (ISE) with a penalty of the derivative of manipulated variable. The work focuses on robust tuning of I-PD controller's parameters in the presence of plant parameter uncertainty. The result of several simulation studies are provided to illustrate the performance of this robust tunig method.

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