• 제목/요약/키워드: the command and control model

검색결과 288건 처리시간 0.03초

마우스를 이용한 Command 입력 git GUI tool 개발을 위한 모델 (A model on git GUI tool development Using mouse for command input)

  • 박성혁;강주호;주현석;황성진;이창훈
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2014년도 추계학술발표대회
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    • pp.665-668
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    • 2014
  • git에 대한 관심이 증가하고 있는 요즘 각종 업계에서 Version Control System을 사용하는 인원들은 git을 svn보다 복잡하다고 생각한다. 물론, 전문적인 소프트웨어 개발자라면 컴퓨터 시스템에 대한 이해가 높기 때문에 이에 별로 구애받지 않을 수도 있다. 하지만, 그 외 디자이너, 학생과 같이 전문 개발자가 아닌 인원들은 git을 이해하기 어려워하고 있다. git을 처음 접하는 인원들이 어려움을 느끼는 이유는 개념의 이해와 명령어 사용이었는데, 이들에게 git 사용을 보다 편안하게하기 위한 git GUI tool 개발을 위한 모델을 제안을 한다.

오차피드백 제어입력이 개선된 모델추종 시간지연제어기 설계 (A Design of Model-Following Time Delay Controller with Modified Error Feedback Controller)

  • 박병석;윤지섭;강이석
    • 한국정밀공학회지
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    • 제17권12호
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    • pp.176-184
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    • 2000
  • TDC(Time Delay Control) deals with the time-varying system parameters, unknown dynamics and unexpected disturbances using time delay. TDC can be divided into two separate parts: an auxiliary controller and a servo controller. The two controllers can be designed independently. The auxiliary controller is used to reduce sensitivity to parameter variations, nonlinear effects, and other disturbances. The servo controller is to reduce the error between the desired command and output. We propose the model-following time delay controller with modified error feedback controller. This was applied to follow the desired reference model for the uncertain time-varying overhead crane. The model generates the damped-out swinging motion trajectory to suppress the swinging motion caused by the acceleration and the deceleration of crane transportation. The control performance was evaluated through simulations. The theoretical results indicate that this control method shows excellent performance to an overhead crane with the uncertain time-varying parameters.

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강인한 성능을 가지는 최적 PD 제어 시스템 설계 (A design on optimal PD control system that has the robust performance)

  • 김동완;황현준
    • 제어로봇시스템학회논문지
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    • 제5권6호
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    • pp.656-666
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    • 1999
  • In this paper, we design the optimal PD control system which has the robust performance. This PD control system is designed by applying genetic algorithm (GA) to the determination of proportional gain KP and derivative gain KD that are given by PD servo controller, to make the output of plant follow the output of reference model optimally. These proportional and derivatibe gains are simultaneously optimized in the search domain guaranteeing the robust performance of system. And, this PD control system is compared with $\mu$ -synthesis control system for the robust performance. The PD control system designed by the proposed method has not only the robust performance but also the better command tracking performance than that of the $\mu$ -synthesis control system. The effectiveness of this control system is verified by computer simulation.

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Adaptive Variable Angle Control in Switched Reluctance Motor Drives for Electric Vehicle Applications

  • Cheng, He;Chen, Hao;Xu, Shaohui;Yang, Shunyao
    • Journal of Power Electronics
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    • 제17권6호
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    • pp.1512-1522
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    • 2017
  • Switched reluctance motor (SRM) is suitable for electric vehicle (EV) applications with the advantages of simple structure, good overload capability, and inherent fault-tolerance performance. The SRM dynamic simulation model is built based on torque, voltage, and flux linkage equations. The EV model is built on the basis of the analysis of forces acting on a vehicle. The entire speed range of the SRM drive is then divided into constant torque and constant power areas. The command torque of the motor drive system is given according to the accelerator pedal coefficient and motor operation areas. A novel adaptive variable angle control is proposed to avoid the switching chattering between the current chopping control and angle position control modes in SRM drives for EV applications. Finally, simulation analysis and experimental results are conducted to verify the accuracy of the proposed simulation model and control strategy.

Fuzzy Modeling and Control of Differential Driving Wheeled Mobile Robot: To Achieve Performance Objective

  • Kang, Jin-Shig
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제3권2호
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    • pp.166-172
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    • 2003
  • The dynamics of the DDWMR depends on the velocity difference of the two driving wheels. And which is known as a type of non-holonomic equation. By this reason, the treatment of DDWMR had become difficult and conservative. In this paper, the differential-driving wheeled mobile robot is considered. The Takaki-Surgeno fuzzy model and a control method for DDWMR is presented. The suggested controller has three control elements. The first element is fuzzy state feedback designed for eliminating the dependence of time-varying parameter. The second element is weighting controller which is designed for good frequency response. The third controller is PI-controller which is designed for good command following and robustness with un-modeled dynamics. In order for achieving the performance objective, the design of controller is based on the loop-shaping algorithm.

농용트랙터의 자동조향을 위한 퍼지제어와 적응제어의 비교 (Comparison between Fuzzy and Adaptive Controls for Automatic Steering of Agricultural Tractors)

  • 노광모
    • Journal of Biosystems Engineering
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    • 제21권3호
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    • pp.283-292
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    • 1996
  • Automatic guidance of farm tractors would improve productivity by reducing operator fatigue and increasing machine performance. To control tractors within $\pm$5cm of the desired path, fuzzy and adaptive steering controllers were developed to evaluate their characteristics and performance. Two input variables were position and yaw errors, and a steering command was fed to tractor model as controller output. Trapezoidal membership functions were used in the fuzzy controller, and a minimum-variance adaptive controller was implemented into the 2-DOF discrete-time input-output model. For unit-step and composite paths, a dynamic tractor simulator was used to test the controllers developed. The results showed that both controllers could control the tractor within $\pm$5cm error from the defined path and the position error of tractor by fuzzy controller was the bigger of the two. Through simulations, the output of self-tuning adaptive controller was relatively smooth, but the fuzzy controller was very sensitive by the change of gain and the shape of membership functions. Contrarily, modeling procedure of the fuzzy controller was simple, but the adaptive controller had very complex procedure of design and showed that control performance was affected greatly by the order of its model.

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기준궤적을 이용한 탄도수정탄 유도제어기 설계 (Design the Guidance and Control for Precision Guidance Munitions using Reference Trajectory)

  • 성재민;한유진;송민섭;김병수
    • 한국군사과학기술학회지
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    • 제18권2호
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    • pp.181-188
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    • 2015
  • This paper present, the result of the guidance and control law for a course correction munitions(CCM) with 2sets of canards positioned in the rotating nose section. The nonlinear simulation model of the CCM was developed based on 7DOF equation of motion. The ability of correcting position was verified by open-loop control input with nonlinear model. The guidance and control command was constructed by reference trajectory which can be obtained with no control. Finally, the performance of the guidance and control law was evaluated through Monte-carlo simulation. The CEP(Circular Error Probability) was obtained by considering the errors in muzzle velocity, aerodynamic coefficient, wind, elevation and azimuth angle and density.

가법적 중복적응 제어기를 이용한 신뢰성 제어 시스템에 관한 연구 (A Study on Reliable Control System Using an Additive Redundant Adaptive Controller)

  • 조영조;김광배
    • 대한전기학회논문지
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    • 제39권3호
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    • pp.301-311
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    • 1990
  • A multiple controller structure consisting of a typical feedback controller and an additive redundant controller is proposed for enhancing the reliability of the control system. For the case where the main controller is chosen as a pole assignment controller with input/output measurements and the redundant controller as the Model Reference Adaptive Controller (MRAC) whose reference model is the closed-loop combination of the plant and the main controller, it is proven that the tracking error between the command input and plant output converges to zero under failure in one of the controllers or parameter perturbations of the plant, and further that the reliability measured by Mean Time To Failure (MTTF) is greater than that of the system with only a single main controller. A simulation Example is provided to illustrate reliable operation of the proposed control system against the controller failure.

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미사일 Fin 액츄에이터용 서보모터의 외란 토크 억제 제어 (Disturbance Torque Suppression Control of Servo Motors for Missile Fin Actuators)

  • 김창환
    • 안보군사학연구
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    • 통권1호
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    • pp.311-343
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    • 2003
  • In this paper, we propose a generalized disturbance torque suppression control scheme of servo motors for missile fin actuators. Our controller consists of both a model based feed-forward controller and a stabilizing feedback controller. The feed-forward controller is designed such that the output of nominal plant tracks perfectly the reference position command with a desired dynamic characteristics. The feedback controller stabilizes the overall closed loop system. Furthermore, the feedback controller contains a free function that can be chosen arbitrary. The free function can be designed so as to achieve both the suppression of disturbances and the robustness to model uncertainties. In order to illuminate the superior performance of our control scheme to the conventional ones, we present some simulation results.

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DAPT: 조종 기술의 예측적 인지 모델 (ADAPT: A Predictive Cognitive Model of Piloting Skill)

  • 손영우;김경태;장수왕;김도형
    • 한국인지과학회:학술대회논문집
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    • 한국인지과학회 2005년도 춘계학술대회
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    • pp.9-13
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    • 2005
  • A comprehension-based computational model of pilot action planning called ADAPT is presented to model pilot performance in a flight simulation context. Individual pilots were asked to execute a series of flight maneuvers using a flight simulator, and their eye-scanning, control movements, and flight performance were recorded in a time-synched database. Computational models of each of the 25 individual pilots were constructed, and the individual models simulated execution of the same flight maneuvers performed by human pilots. The time-synched eye-scanning, control movements, and flight performance of individual pilots and their respective models were compared to test ADAPT's predictive validity.

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