• Title/Summary/Keyword: Power minimizing Controller

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Control for Minimizing Power Consumption in Micro Disk Drives (마이크로 디스크 드라이브의 전력소모 최소화 제어)

  • 백상은;심준석;강창익
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.2
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    • pp.164-170
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    • 2004
  • Recently, the demand for micro hard disk drive that provides high-capacity removable storage for handhold electronic devices is growing very rapidly Reducing power consumption is one of the primary control objectives in micro disk drives. The input power delivered to the seek servo system is consumed as heat by the transistors of power amplifier and motor coil resistance. In this paper, we present a new seek servo controller for minimizing the power consumption. We use a Fourier decomposition and nonlinear programming to determine the optimum seek profile that minimizes the power consumption. Also, the trajectory tracking controller is developed for exact tracking of the optimum seek profile. Finally, we present some experimental results using a commercially available micro disk drive in order to demonstrate the superior performance of the proposed controller.

Loss Minimizing Vector Control of Interior Permanent Magnet Synchronous Motor (매입형 영구자석 동기전동기의 최소 손실 벡터제어)

  • Chung, Euihoon;Lee, Yongjae;Ha, Jung-Ik
    • The Transactions of the Korean Institute of Power Electronics
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    • v.20 no.4
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    • pp.330-336
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    • 2015
  • This paper presents a loss-minimizing vector control method for interior permanent magnet synchronous motor (IPMSM). Conventionally, maximum torque per ampere (MTPA) control, which minimizes copper loss, has been widely used in industry. Iron loss, however, is not considered in MTPA control. In this paper, the loss model, including iron loss and copper loss, is derived to further reduce drive loss. The loss-minimizing vector controller is implemented based on the loss model. The controller generates optimal current vectors according to the operating conditions. The performance and validity of the proposed method are proved by experimental results through comparison with conventional methods.

Design and Analysis of Large Induction Motor Control Coping with Voltage Sag (순간전압강하 극복을 위한 대용량 유도전동기 제어방식 설계 및 해석)

  • Cho, Sung-Don;Lim, Seong-Ho
    • Proceedings of the KIEE Conference
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    • 1998.07c
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    • pp.1056-1058
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    • 1998
  • Voltage dips caused by transmission system faults are usually of a short duration. High speed relaying and breaker operation will typically limit the disturbance to 0.1 seconds. Most motor controllers obtain their control power directly from the bus by means of a control transformer. Under this condition, a voltage dip can cause the contactor to drop out. disconnecting the motor from the line. The rapid re-energizing of the controller is in effect a fast reclosure which may result in motor damage. The time delay re-energizing of controller will result in a greater loss of speed and possibly loss of stability. Other means of controller can be used to prevent the motor from being disconnected from line during the fault. This can be accomplished by DC power controller or mechanically latched controller. This paper demonstrates that DC power controller or mechanically latched type controller to prevent the motor from being disconnected from line during the fault is, the most effective in minimizing speed reduction, transient motor current, transient motor torque and transient shaft torque by EMTP calculation.

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Robust Fuzzy Controller for Mitigating the Fluctuation of Wind Power Generator in Wind Farm (풍력발전단지의 출력변동저감을 위한 강인 퍼지 제어기 설계)

  • Sung, Hwa Chang;Tak, Myung Hwan;Joo, Young Hoon
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.1
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    • pp.34-39
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    • 2013
  • This paper proposes the implementation of robust fuzzy controller for designing intelligent wind farm and mitiagating the fluctuation of wind power generator. The existing researches are limited to individual wind turbine with variable speed so that it is necessary to study the multi-agent wind turbine power system. The scopes of these studies include from the arrangements of each power turbine to the control algorithms for the wind farm. For solving these problems, we introduce the composition of intelligent wind farm and use the T-S (Takagi-Sugeno) fuzzy model which is suitable for designing fuzzy controller. The control object in wind farm enables the minimizing the fluctuation of wind power generator. Simulation results for wind fram which is modelled as mathematically are demonstrated to visualize the feasibility of the proposed method.

Control For Minimizing Settling Time in High-Density Disk Drives (고밀도 디스크 드라이브의 안착시간 최소화 제어)

  • 강창익;김창환;임충혁
    • Journal of Institute of Control, Robotics and Systems
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    • v.9 no.1
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    • pp.10-21
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    • 2003
  • During seek operation in disk drives, the recording head is moved toward desired track by seek servo controller and then is settled onto the center of the desired track by settling servo controller. If the head speed at the start of settling servo control is not slow, it may produce overshoot relative to the center of track and thus extend the settling time. The degradation in settling performance will be more severe as the track width becomes smaller for higher density of data storage. We design a new settling servo controller for minimizing settling time based on the pole-zero cancellation. In order to cancel slow poles in settling response, we apply discrete pulse signals to the system in addition to the state feedback control. For exact pole-zero cancellation, we consider the dynamics of power amplifier used for actuator current regulation and the effects of delay in control action. In addition, we present system parameter identification algerian for the robustness of our controller to system parameter variation. In order to demonstrate the practical use of our controller, we present experimental results obtained by using a commercially available disk drive.

A Study on Tuning of Current Controller for Grid-connected Inverter Using Particle Swarm Optimization (PSO를 이용한 계통연계형 인버터 전류제어기의 자동조정에 관한 연구)

  • Ahn Jong-Bo;Kim Won-gon;Hwang Ki-Hyun;Park Jun-H
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.53 no.11
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    • pp.671-679
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    • 2004
  • This paper presents the on-line current controller tuning method of grid-connected inverter using PSO(particle swarm optimization) technique for minimizing the harmonic current. Synchronous frame PI current regulator is commonly used in most distributed generation. However, due to the source voltage distortion, specially in weak AC power system, current may contain large harmonic components, which increase THD(total harmonic distortion) and deteriorates power quality. Therefore, some tuning method is necessary to improve response of current controller. This paper used the PSO technique to tune the current regulator and through simulation and experiments, usefulness of the tuning method has been verified. Especially in simulating the tuning process, ASM(average switching model) of inverter is used to shorten execution time.

A Design of Anti-sway Controller for Container Crane (컨테이너 크레인의 흔들림 억제 제어기 설계)

  • Son, J.K.;Kwon, S.J.;Park, H.S.
    • Journal of Power System Engineering
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    • v.7 no.1
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    • pp.51-59
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    • 2003
  • The recent amount of container freight continuously has been increased, but the low efficiency of container crane causes jamming frequently in transportation and cargo handling at port. It is required that the working velocity and safety are improved by control of moving the trolley as quick as possible without large overshoot and any residual swing motion of container at the destination. In this paper, a LQ Fuzzy controller for a container crane is proposed to accomplish an optimal design of improved control system for minimizing the swing motion at destination. In this scheme a mathematical model for the system is obtained in state space form. Finally, the effectiveness of the proposed controller is verified through computer simulation.

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Study on Capacity Design of Active Phase Controller for Distribution Line Reconfiguration (배전선로 재구성을 위한 능동위상제어기의 용량 선정 연구)

  • Jeong, Da-Woom;Kim, Soo-Yeon;Park, Sung-Jun;Kim, Dong-Hee
    • The Transactions of the Korean Institute of Power Electronics
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    • v.25 no.5
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    • pp.369-375
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    • 2020
  • Distribution energy resources have been increasing in recent years. However, output power is limited for distribution network stability. This study proposes an active distribution network that can reconfigure distribution lines by using an active phase controller. A conventional distribution network has a fixed structure, whereas an active distribution network has a variable structure. Therefore, the latter can increase the output power of distribution energy resources and decrease the overload of distribution line facilities. An active phase controller has two operation modes for minimizing circulating current during dynamic reconfiguration. In this study, voltage and current control algorithms are proposed for active phase controllers. The simulation of the proposed methods for active phase controllers is performed using PSIM software.

DESIGN OF A PWR POWER CONTROLLER USING MODEL PREDICTIVE CONTROL OPTIMIZED BY A GENETIC ALGORITHM

  • Na, Man-Gyun;Hwang, In-Joon
    • Nuclear Engineering and Technology
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    • v.38 no.1
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    • pp.81-92
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    • 2006
  • In this study, the core dynamics of a PWR reactor is identified online by a recursive least-squares method. Based on the identified reactor model consisting of the control rod position and the core average coolant temperature, the future average coolant temperature is predicted. A model predictive control method is applied to designing an automatic controller for the thermal power control of PWR reactors. The basic concept of the model predictive control is to solve an optimization problem for a finite future at current time and to implement as the current control input only the first optimal control input among the solutions of the finite time steps. At the next time step, this procedure for solving the optimization problem is repeated. The objectives of the proposed model predictive controller are to minimize both the difference between the predicted core coolant temperature and the desired temperature, as well as minimizing the variation of the control rod positions. In addition, the objectives are subject to the maximum and minimum control rod positions as well as the maximum control rod speed. Therefore, a genetic algorithm that is appropriate for the accomplishment of multiple objectives is utilized in order to optimize the model predictive controller. A three-dimensional nuclear reactor analysis code, MASTER that was developed by the Korea Atomic Energy Research Institute (KAERI) , is used to verify the proposed controller for a nuclear reactor. From the results of a numerical simulation that was carried out in order to verify the performance of the proposed controller with a $5\%/min$ ramp increase or decrease of a desired load and a $10\%$ step increase or decrease (which were design requirements), it was found that the nuclear power level controlled by the proposed controller could track the desired power level very well.