• 제목/요약/키워드: Speed controller

검색결과 2,812건 처리시간 0.034초

가속도 전향보상을 이용한 유도전동기의 속도제어 (Speed Control of an Induction Motor using Acceleration Feedforward Compensation)

  • 김상훈;이재왕
    • 산업기술연구
    • /
    • 제20권B호
    • /
    • pp.175-182
    • /
    • 2000
  • In this paper, a novel speed control strategy using an acceleration feedforward compensation by the estimation of the system inertia is proposed. With the proposed method, the enhanced speed control performance can be achieved and the speed response against the disturbance torque can be improved for the vector-controller induction motor drive systems in which the bandwidth of the speed controller cannot be made large enough. The experimental results confirm the validity of the proposed strategy.

  • PDF

부하변동에 강인한 엔진 공회전 속도제어에 관한 연구 (A Study on the Idle Speed Control under Load Disturbance)

  • 최후락;장광수
    • 한국자동차공학회논문집
    • /
    • 제5권5호
    • /
    • pp.37-50
    • /
    • 1997
  • The objective of this paper is to study on the idle speed control using the fuzzy logic controller under load disturbance. The design procedure for fuzzy logic controller depends on the expert's knowledge or trial and error. The inputs of the fuzzy controller are error of rpm and variation of rpm. The output of the fuzzy controller is an ISC motor step and ignition timing. The airflow is controlled by the ISC motor movement and the idle speed is controlled by the airflow control and ignition timing control. During the control, air to fuel was checked by LAMBDA sensor. All experiments were performed in a real vehicle.

  • PDF

마이크로컨트롤러를 이용한 유도전동기의 퍼지속도제어기 설계 (A Design of Fuzzy Speed Controller for Induction Motor using Microcontroller)

  • 안정훈;양형렬;위석오;임영철
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 1998년도 하계학술대회 논문집 F
    • /
    • pp.1999-2001
    • /
    • 1998
  • A speed controller of a induction motor using Microcontroller and Fuzzy logic is presented in the paper. Generally, fuzzy logic controller is known as a controller which can be coped with a non-linear and a complex system. A fuzzy logic is used for robust and fast speed control and space vector modulation method is used for PWM wave generation in this proposed system. The results of experiment show excellence of the proposed system and that the proposed system is appropriate to control the speed of a induction motor for industrial application.

  • PDF

퍼지제어기를 이용한 SRM의 속도전어 성능향상에 관한 연구 (The Improvement of Speed Control Performance for Switched Reluctance Motor Drive Using Fuzzy Logic Controller)

  • 김성민;김윤현;김솔;이주
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2001년도 하계학술대회 논문집 B
    • /
    • pp.567-569
    • /
    • 2001
  • This paper presents improved performance on the speed control of Switched Reluctance Motor(SRM) by using fuzzy logic speed controller. The nonlinear model of SRM is used and the motor used in experiment is a 6/4 SRM. In order to prove the superiority of the fuzzy logic controller, it is applied to make use of Matlab simulation program. And to implement the control method on the SRM drive. DSP(TMS320F240) based SRM speed controller is designed and fabricated. The simulation and experiment results show that FLC is effective in settling time maximum overshoot and torque ripple.

  • PDF

The SPWM Fuzzy Controller for speed control of Induction Motor

  • Kamsri, T.;Riewruja, V.;Ukakimaparn, P.;Pongswatd, S.;Kummool, S.
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
    • /
    • pp.465-465
    • /
    • 2000
  • The paper presents the fuzzy control technique to adjust the gain schedule in the fuzzy controller. The micro computer is designed to the fuzzy controller to execute the proportional gain with the data of the error and speed command. The gain schedule is the fuzzy set which execute based on the fuzzy rule. The gain schedule from the fuzzy controller is fed to the sinusoidal pulse width modulation (SPWM) inverter for control the response and speed of the induction motor. The induction motor coupling to the DC motor and tachogenerator which DC motor as a load. The test result of the fuzzy control technique in the open loop control, it provides a good response and in the closed loop control it can control speed in the any condition of load design

  • PDF

신경 회로망과 관측기에 기반한 2-mass 시스템에서의 속도 제어기 설계 (Design of a Speed Controller for 2-Mass System Based on Neural Network and Observer)

  • 현대성;박정일
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
    • /
    • pp.361-361
    • /
    • 2000
  • In the 2-mass system with flexible shaft, a torsional vibration is often generated because of the elastic elements in torque transmission as the newly required speed response which is very close to the primary resonant frequency. This vibration makes it difficult to achieve quick responses of speed and disturbance rejection. In this paper, 2-mass system is designed by using pole placement based on optimal control theory fur fast speed response and torsional vibration elimination and using neural network for disturbance rejection in particular. The simulation results show that the proposed controller based on neural network and full state feedback controller has better performance than 려ll state feedback controller, especially fur disturbance rejection.

  • PDF

마이크로컨트롤러를 이용한 유도전동기의 퍼지속도제어기 설계 (A Design of Fuzzy Speed Controller for Induction Motor using Microcontroller)

  • 임영철;나석환;안정훈
    • 한국조명전기설비학회:학술대회논문집
    • /
    • 한국조명전기설비학회 1998년도 학술발표회논문집
    • /
    • pp.181-185
    • /
    • 1998
  • A speed controller of a induction motor using Microcontroller and Fuzzy logic is presented in the paper. Generally, fuzzy logic controller is known as a controller which can be coped with a non-linear and a complex system. A fuzzy logic is used for robust and fast speed control and space vector modulation method is used for PWM wave generation in this proposed system. The results of experiment show excellence of the proposed system and that the proposed system is appropriate to control the speed of a induction motor for industrial application.

  • PDF

퍼지논리를 이용한 유도전동기의 속도제어기 설계 (A Design of Speed Controller for Induction Motor using Fuzzy Logic)

  • 임영철;나석환;위석호;양형렬;안정훈
    • 한국지능시스템학회:학술대회논문집
    • /
    • 한국퍼지및지능시스템학회 1998년도 추계학술대회 학술발표 논문집
    • /
    • pp.244-249
    • /
    • 1998
  • Abstract-A speed controller of a induction motor using Microcontroller and Fuzzy logic is presented in the paper. Generally fuzzy logic controller is known as a controller which 춤 be coped with a non-linear and a complex system. A fuzzy logic is used for robust and fast speed control and space vector modulation method is used for PWM wave generation in this proposed system. The results of experiment show excellence of the proposed system and that the proposed system is appropriate to control the speed of a induction motor for industrial application

  • PDF

Field Adaptability Test for the Full Load Rejection of Nuclear Turbine Speed Controllers using Dynamic Simulator

  • Choi, In-Kyu;Kim, Jong-An;Woo, Joo-Hee
    • 조명전기설비학회논문지
    • /
    • 제23권7호
    • /
    • pp.67-74
    • /
    • 2009
  • This paper describes the speed control functions of the typical steam turbine speed controllers and the test results of generator load rejection simulations. The goal of the test is to verify the speed controller's ability to limit the steam turbine's peak speed within a predetermined level in the event of generator load loss. During normal operations, the balance between the driving force of the steam turbine and the braking force of the generator load is maintained and the speed of the turbine-generator is constant. Upon the generator's load loss, in other word, the load rejection, the turbine speed would rapidly increase up to the peak speed at a fast acceleration rate. It is required that the speed controller has the ability to limit the peak speed below the overspeed trip point, which is typically 110[%] of rated speed. If an actual load rejection occurs, a substantial amount of stresses will be applied to the turbine as well as other equipments, In order to avoid this unwanted situation, not an actual test but the other method is necessary. We are currently developing the turbine control system for another nuclear power plant and have plan to do the simulation suggested in this paper.