• 제목/요약/키워드: Optimal Control Technology

검색결과 1,619건 처리시간 0.03초

$H_{\infty}$ 제어에 의한 박용디젤기관의 속도제어에 관한 연구 (A Study on Marine Diesel Engine Speed Control by Application of H Control)

  • 양주호
    • 수산해양기술연구
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    • 제30권4호
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    • pp.320-328
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    • 1994
  • In 1980 s to 1990 s the marine propulsion diesel engines have been developed into lower speed and longer stroke for the enegy saving (small S.F.O.C). As these new trends the conventional mechanical-hydraulic governors were not adapted to the new requirements and the digital governors have been adopted in the marine use. The digital governors usually use the control algorithms such as the PID control, optimal control, adaptive control and etc. While the engine has delay time and parameter variations these control algorithms have difficulty in considering the stability and the robustness for the model uncertainty. In this study, the $H_{\infty}$ controller design method are applied in order to design the feedback controller K(s) to the speed control of the low speed marine diesel engine, and the two-degree-of-freedom control system is constituted with $H_{\infty}$controller. By comparison of responses of the two-degree-of-freedom control system under the delay time and parameter variations is confirmed.

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Robot manipulator's contact tasks on uncertain flexible objects

  • Wu, Jianqing;Luo, Zhiwei;Yamakita Masaki;Ito, Koji
    • 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.460-463
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    • 1995
  • The present paper studies a robot manipulator's contact tasks on the uncertain flexible objects. The flexible object's distributed parameter model is approximated into a lumped "position state-varying" model. By using the well-known nonlinear feedback compensation, the robot's control space is decomposed into the position control subspace and the object's torque control subspace. The optimal state feedback is designed for the position loop, and the robot's contact force is controlled through controlling the resultant torque on the object using model-reference simple adaptive control. Experiments of a PUMA robot interacting with an aluminum plate show the effectiveness of this control approach. approach.

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Analysis of Supply Airflow Control by a Stratified Thermal Model in a VAV System

  • Kim, Seo-Young;Moon, Jeong-Woo;Cho, Hyung-Hee
    • International Journal of Air-Conditioning and Refrigeration
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    • 제9권3호
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    • pp.46-56
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    • 2001
  • The present study concerns the numerical simulation of a supply airflow control in a variable air volume (VAY) system. A stratified thermal model (multi-zone model) is suggested to predict a local thermal response of an air-conditioned space. The effects of various thermal parameters such as the cooling system capacity, the thermal mass of an air-conditioned space, the time delay of thermal effect, and the building envelope heat transmission are investigated. Further, the influence of control parameters such as the supply air temperature, the PI control factor and the thermostat location on a VAV system is quantitatively delineated. The results obtained show that the previous homogeneous lumped thermal model (single zone model) may overestimate the time taken to the set point temperature. It is also found that there exist the appropriate ranges of the control parameters for the optimal airflow control of the VAV system.

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전차 포신의 정밀 위치 제어를 위한 스위치드 리럭턴스 모터의 토크 제어 (Torque Control of a Switched Reluctance Motor for the Precision Position Control of a Tank Gun)

  • 최창환;김용대;이대옥;박기환
    • 한국군사과학기술학회지
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    • 제3권2호
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    • pp.42-52
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    • 2000
  • A torque control method of a switched reluctance motor for the position control of a tank gun is presented. One of the widely used torque control scheme, torque sharing function method, is investigated and a new torque sharing function method is proposed that extends the definition region of the conventional TSF to both the positive and negative torque production regions. By using this definition, all kinds of the control inputs that consider switching on/off angle control as well as the current profiling can be described. A parametrized representation of the current profiles is proposed by using a series of B-spline functions, which reduces memory requirement and enables additional controllers. Optimal determination of the TSFs are also investigated for various control objectives. Moreover, the comparison study of each objective is presented. Since this method generalizes all of the possible control input, the current and torque profiles obtained from the optimization are the most suitable control input that satisfy the objectives.

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다중 네트워크 환경하에서의 한계 비용 함수에 의한 최적 트래픽 제어 기법 (Optimal Traffic Control Method by the Cost-analytic Operations Model in Heterogeneous Network Environment)

  • 김재훈
    • 한국통신학회논문지
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    • 제32권10A호
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    • pp.941-949
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    • 2007
  • 신규 무선 네트워크 기술의 발전은 현재의 단일 네트워크 위주의 구성을 가진 무선 서비스 사업자에 새로운 다중 네트워크 (Heterogeneous Network) 환경을 맞이하게 하였다. 또한 무선 통신 사용자 수는 계속적인 증가추세에 있고 사용자들이 원하는 서비스의 종류 또한 계속적으로 다양해지고 있으며 사용자가 기대하는 서비스의 질과 수준 역시 높아지고 있다. 이에 무선 서비스 사업자들은 사용자들의 높아진 서비스 품질을 만족시키고 새로운 형태의 서비스를 안정적으로 공급하며, 현재의 네트워크와 신규 네트워크의 조화로운 운용을 위해 새로운 형태의 운용 구조 (Operation Framework)를 필요로 한다. 본 논문에서는 네트워크간의 비용/효용에 대한 한계 비용 (Marginal Cost) 산정 기법을 도입하여 서비스에 따른 최적 네트워크 운용 기법에 대해 논술한다.

교차점과 오차행렬을 이용한 사람 검출용 퍼지 분류기 진화 설계 (Evolutionary Design of Fuzzy Classifiers for Human Detection Using Intersection Points and Confusion Matrix)

  • 이준용;박소연;최병석;신승용;이주장
    • 제어로봇시스템학회논문지
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    • 제16권8호
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    • pp.761-765
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    • 2010
  • This paper presents the design of optimal fuzzy classifier for human detection by using genetic algorithms, one of the best-known meta-heuristic search methods. For this purpose, encoding scheme to search the optimal sequential intersection points between adjacent fuzzy membership functions is originally presented for the fuzzy classifier design for HOG (Histograms of Oriented Gradient) descriptors. The intersection points are sequentially encoded in the proposed encoding scheme to reduce the redundancy of search space occurred in the combinational problem. Furthermore, the fitness function is modified with the true-positive and true-negative of the confusion matrix instead of the total success rate. Experimental results show that the two proposed approaches give superior performance in HOG datasets.

Optimal Scheduling of Electric Vehicles Charging in low-Voltage Distribution Systems

  • Xu, Shaolun;Zhang, Liang;Yan, Zheng;Feng, Donghan;Wang, Gang;Zhao, Xiaobo
    • Journal of Electrical Engineering and Technology
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    • 제11권4호
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    • pp.810-819
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    • 2016
  • Uncoordinated charging of large-scale electric vehicles (EVs) will have a negative impact on the secure and economic operation of the power system, especially at the distribution level. Given that the charging load of EVs can be controlled to some extent, research on the optimal charging control of EVs has been extensively carried out. In this paper, two possible smart charging scenarios in China are studied: centralized optimal charging operated by an aggregator and decentralized optimal charging managed by individual users. Under the assumption that the aggregators and individual users only concern the economic benefits, new load peaks will arise under time of use (TOU) pricing which is extensively employed in China. To solve this problem, a simple incentive mechanism is proposed for centralized optimal charging while a rolling-update pricing scheme is devised for decentralized optimal charging. The original optimal charging models are modified to account for the developed schemes. Simulated tests corroborate the efficacy of optimal scheduling for charging EVs in various scenarios.

Differential Evolution Approach for Performance Enhancement of Field-Oriented PMSMs

  • Yun, Hong Min;Kim, Yong;Choi, Han Ho
    • Journal of Electrical Engineering and Technology
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    • 제13권6호
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    • pp.2301-2309
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    • 2018
  • In a field-oriented vector-controlled permanent magnet synchronous motor (PMSM) control system, the d-axis current control loop can offer a free degree of freedom which can be used to improve control performances. However, in the industry the desired d-axis current command is usually set as zero without using the free degree of freedom. This paper proposes a method to use the degree of freedom for control performance improvement. It is assumed that both the inner loop proportional-integral (PI) current controller and the q-axis outer loop PI speed controller are tuned by the well-known tuning rules. This paper gives an optimal d-axis reference current command generator such that some useful performance indexes are minimized and/or a tradeoff between conflicting performance criteria is made. This paper uses a differential evolution algorithm to autotune the parameter values of the optimal d-axis reference current command generator. This paper implements the proposed control system in real time on a Texas Instruments TMS320F28335 floating-point DSP. This paper also gives experimental results showing the practicality and feasibility of the proposed control system, along with simulation results.

A New Approach to Adaptive Damping Control for Statistic VAR Compensators Based on Fuzzy Logic

  • Sedaghati, Alireza
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.825-829
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    • 2005
  • This paper presents an approach for designing a fuzzy logic-based adaptive SVC damping In controller for damping low frequency power oscillations. Power systems are often subject to low Frequency electro-mechanical oscillations resulting from electrical disturbances. Generally, power system stabilizers are designed to provide damping against this kind of oscillations. Another means to achieve damping is to design supplementary damping controllers that are equipped with SVC. Various approaches are available for designing such controllers, many of which are based on the concepts of damping torque and others which treat the damping controller design as a generic control problem and apply various control theories on it. In our proposed approach, linear optimal controllers are designed and then a fuzzy logic tuning mechanism is constructed to generate a single control signal. The controller uses the system operating condition and a fuzzy logic signal tuner to blend the control signals generated by two linear controllers, which are designed using an optimal control method. First, we design damping controllers for the two extreme conditions; the control action for intermediate conditions is determined by the fuzzy logic tuner. The more the operating condition belongs to one of the two fuzzy sets, the stronger the contribution of the control signal from that set in the output signal. Simulation studies done on a one-machine infinite-bus and a four-machine two-area test system, show that the proposed fuzzy adaptive damping SVC controller effectively enhances the damping of low frequency oscillations.

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Structure-Control Combined Design with Structure Intensity

  • Park, Jung-Hyen;Kim, Soon-Ho
    • International Journal of Ocean Engineering and Technology Speciallssue:Selected Papers
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    • 제6권1호
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    • pp.60-68
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    • 2003
  • This paper proposes an optimum design method of structural and control systems, using a 2-D truss structure as an example. The structure is subjected to initial static loads and disturbances. For the structure, a FEM model is formed. Using modal transformation, the equation of motion is transformed into modal coordinates, in order to decrease D.O.F. of the FEM model. To suppress the effect of the disturbances, the structure is controlled by an output feedback $H_{\infty}$ controller. The design variables of the combined optimal design of the control-structure systems are the cross sectional areas of truss members. The structural objective function is the structural weight. The control objective function is the $H_{\infty}$ norm, the performance index of control. The second structural objective function is the energy of the response related to the initial state, which is derived from the time integration of the quadratic form of the state in the closed-loop system. In a numerical example, simulations have been perform. Through the consideration of structural weight and $H_{\infty}$ norm, an advantage of the combined optimum design of structural and control systems is shown. Moreover, since the performance index of control is almost nearly optimiz, we can acquire better design of structural strength.

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