• Title, Summary, Keyword: Predictive Control

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A Novel Discrete-Time Predictive Current Control for PMSM

  • Sun, Jung-Won;Lee, Jin-Woo;Suh, Jin-Ho;Lee, Young-Jin;Lee, Kwon-Soon
    • 제어로봇시스템학회:학술대회논문집
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    • pp.2503-2508
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    • 2005
  • In this paper, we propose a new discrete-time predictive current controller for a PMSM(Permanent Magnet Synchronous Motor). The main objectives of the current controllers are to ensure that the measured stator currents tract the command values accurately and to shorten the transient interval as much as possible, in order to obtain high-performance of ac drive system. The conventional predictive current controller is hard to implement in full digital current controller since a finite calculation time causes a delay between the current sensing time and the time that it takes to apply the voltage to motor. A new control strategy in this paper is seen the scheme that gets the fast adaptation of transient current change, the fast transient response tracking. Moreover, the validity of the proposed method is demonstrated by numerical simulations and the simulation results will present the improvements of predictive controller and accuracy of the current controller.

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Analysis and Novel Predictive Control of current control for Permanent Magnet Linear Synchronous Motor using SVPWM (SVPWM을 이용한 PMLSM의 전류 제어 분석과 새로운 예측 전류 제어)

  • Sun, Jung-Won;Lee, Jin-Woo;Shu, Jin-Ho;Lee, Young-Jin;Lee, Kwon-Soon
    • Proceedings of the KIEE Conference
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    • pp.236-238
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    • 2005
  • In this paper, we propose a new discrete-time predictive current controller for a PMLSM(permanent magnet linear synchronous motor). The main objectives of the current controllers are that the measured stator current is tracked the command current value accurately and the transient interval is shorten as much as possible, in order to obtain high-performance of ac drive system. The conventional predictive current controller is hard to implement in full digital current controller since a finite calculation time causes a delay between the current sensing time and the time that take to apply the voltage to motor. A new control strategy is the schema that gets the fast adaptation of transient current change, the fast transient response tracking. Moreover, the simulation results will be verified the improvements of Predictive controller and accuracy of the current controller.

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Collision Avoidance using Model Predictive Control (모델 예측 제어를 활용한 충돌 회피)

  • Choi, Jaewoong;Seo, Jongsang;Yi, Kyongsu
    • Journal of Auto-vehicle Safety Association
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    • v.5 no.2
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    • pp.32-38
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    • 2013
  • This paper presents collision avoidance using model predictive control algorithm. A model predictive control algorithm determines lateral tire force and yaw moment and steering angle input and differential braking input is determined from lateral tire force and yaw moment. A constraint for model predictive control is designed for obstacle avoidance. A objective function is designed to minimize lateral tire force and yaw moment input and to follow changed lane after collision avoidance. The performance of proposed algorithm has been investigated via computer simulation conducted to vehicle dynamic software CARSIM and Matlab/Simulink.

A speed predictive control of the AC servo motor using DSP processor (DSP를 사용한 AC 서보 모터의 속도 예측 제어)

  • 김진환
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.35S no.7
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    • pp.22-28
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    • 1998
  • This paper includes AC servo motor speed control usig the predictive control strategy. Generally, AC servo motor control should have the fast response characteristics. For the issue, sliding mode control and PID control have been applied. However, the former has the speed ripple response due to the chattering and the latter requires the many trial efforts. Originally, the predictive control which has been used in process control area does not need the priori knowledge for the application system and it is easy to compute the optimal gain with the prediction. In this paper, the TMS320C31 DSP pocessor is used for AC motor control with fst dynamics and the tuning guid-line for the parameters of the predictive control algorithm is given in order to reduce the computation load. Also, the actuator saturationis implemented uisngthe QP(Quadratic Programming) method and the transient response is improved by the identified intertia coefficient when AC motor is drived at forward/reverse rotation.

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Formation Flight Control of Unmanned Aerial Vehicles Using Model Predictive Control (모델 예측 기법 기반 무인 항공기의 편대 비행 제어 알고리즘)

  • Park, Jae-Mann;Shin, Jong-Ho;Kim, Hyoun-Jin
    • Journal of Institute of Control, Robotics and Systems
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    • v.14 no.12
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    • pp.1212-1217
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    • 2008
  • This paper studies the feasibility of using the nonlinear model predictive control as a formation flight control algorithm for unmanned aerial vehicles. The optimal control inputs for formation flight are calculated through the cost function which incorporates the relative positions of the individual vehicles to maintain a desired formation and also the inequality constraints on inputs and states using the Karush-Kuhn-Tucker conditions. In the nonlinear model predictive control setting, the optimal control inputs are implemented in a receding horizon manner, which is suitable for dealing with dynamic constraints. Numerical simulations are executed for the validation of the proposed scheme.

Position Control of Induction Motor Using Generalized Predictive Control (일반형 예측제어을 이용한 유도전동기의 위치제어)

  • Na, Jae-Du;Kim, Sang-Uk;Kim, Young-Seok
    • Proceedings of the KIEE Conference
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    • pp.340-343
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    • 1995
  • This paper consists of the position control of induction motor using Generalized Predictive Control. Full order flux observer is also used for the purpose of estimating rotor fluxes. By using Generalized Predictive Control algorithm, the improved position control is realized in this paper. The proposed control method has been implemented by a 32 bit floating point TMS320C31 DSP chip.

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Attitude control system implementation for a helicopter propeller setup using TMS320C31 (TMS320C31을 이용한 모형 헬리콥터의 자세제어 시스템 실현)

  • 박기훈;손원기;권오규
    • 제어로봇시스템학회:학술대회논문집
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    • pp.329-332
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    • 1997
  • This paper deals with the attitude control problem of nonlinear MIMO propeller setup. Multivariable GPC[Generalized Predictive Control] is adopted as the main controller, and it is implemented by TMS320C31 in the current paper. The main object of control is to move the propellers to wanted positions. System identification is performed to configure the system. Performance of the multivariable predictive controller implemented is shown via some experiments, which shows the controller meets the adequate control purpose.

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Application of Model Based Predictive Control with Kalman Filter to Natural Circulation Water Tube Boiler

  • Kim, Tae-Shin;Kwon, Oh-Kyu
    • 제어로봇시스템학회:학술대회논문집
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    • pp.1146-1151
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    • 2005
  • This paper deals with the control problem of a natural circulation water tube boiler with constraint conditions. Some linearized models for the water tube boiler are proposed around some operating points, and the model based predictive control law is adopted to control the plant accounting for constraints. In this controller, the Kalman filter is used for the state estimation, and the controller is designed based on the linearized model. The control performance of the designed controller is exemplified via some nonlinear simulations around the operation point, which show it works well.

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Radial Basis Function Network Based Predictive Control of Chaotic Nonlinear Systems

  • Choi, Yoon-Ho;Kim, Se-Min
    • Journal of Korean Institute of Intelligent Systems
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    • v.13 no.5
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    • pp.606-613
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    • 2003
  • As a technical method for controlling chaotic dynamics, this paper presents a predictive control for chaotic systems based on radial basis function networks(RBFNs). To control the chaotic systems, we employ an on-line identification unit and a nonlinear feedback controller, where the RBFN identifier is based on a suitable NARMA real-time modeling method and the controller is predictive control scheme. In our design method, the identifier and controller are most conveniently implemented using a gradient-descent procedure that represents a generalization of the least mean square(LMS) algorithm. Also, we introduce a projection matrix to determine the control input, which decreases the control performance function very rapidly. And the effectiveness and feasibility of the proposed control method is demonstrated with application to the continuous-time and discrete-time chaotic nonlinear system.

Active vibration suppression of a 1D piezoelectric bimorph structure using model predictive sliding mode control

  • Kim, Byeongil;Washington, Gregory N.;Yoon, Hwan-Sik
    • Smart Structures and Systems
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    • v.11 no.6
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    • pp.623-635
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    • 2013
  • This paper investigates application of a control algorithm called model predictive sliding mode control (MPSMC) to active vibration suppression of a cantilevered aluminum beam. MPSMC is a relatively new control algorithm where model predictive control is employed to enhance sliding mode control by enforcing the system to reach the sliding surface in an optimal manner. In previous studies, it was shown that MPSMC can be applied to reduce hysteretic effects of piezoelectric actuators in dynamic displacement tracking applications. In the current study, a cantilevered beam with unknown mass distribution is selected as an experimental test bed in order to verify the robustness of MPSMC in active vibration control applications. Experimental results show that MPSMC can reduce vibration of an aluminum cantilevered beam at least by 29% regardless of modified mass distribution.