• 제목/요약/키워드: Optimal Control Gain

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Evaluation of the impact of phytase supplementation on growth performance, nutrient digestibility, and fecal score of growing pigs

  • Shanshui Gao;Md Mortuza Hossain;In Ho Kim
    • 농업과학연구
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    • 제50권4호
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    • pp.653-661
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    • 2023
  • Phytase enhances phosphorus availability in pig diets by breaking down phytic acid, which is challenging for animals to digest. This study aimed to assess the impact of dietary phytase supplementation on the growth performance, nutrient digestibility, and fecal score of growing pigs. Sixty-four growing pigs ([Yorkshire × Landrace] × Duroc, average body weight 21.20 ± 0.18 kg) were randomly assigned to one of two treatment groups. The dietary treatments were CON, basal diet, and PHY, basal diet + 0.0025% phytase. Results indicated a tendency for increased average daily gain in the phytase-supplemented diet group (p < 0.10) compared to the control diet group. The average daily feed intake and feed conversion ratio were not affected by the addition of 0.0025% phytase. Furthermore, dry matter digestibility, nitrogen content, and digestible energy were not influenced (p > 0.05) by phytase supplementation. Fecal score remained similar (p > 0.05) in growing pigs fed phytase-supplemented and control diets. These findings suggest that supplementing the diet of growing pigs with 0.0025% phytase may lead to improved average daily gain without adverse effects on nutrient digestibility and fecal score. This implies the potential to enhance growth performance without compromising overall health or digestion in pigs. Further investigations into the optimal levels of phytase supplementation for growing pigs are recommended.

LQR 제어이득의 효율적 산정에 의한 능동텐던 구조물의 최적화 (Optimization of Active Tendon Controlled Structures by Efficient Solution of LQR Control Gain)

  • 조창근;권준명;정인규;박문호
    • 한국공간구조학회논문집
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    • 제8권4호
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    • pp.73-80
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    • 2008
  • 본 논문의 목적은, LQR 제어이득의 효율적 산정에 의한 지진하중을 받는 빌딩 구조물의 능동지진제어를 위하여 능동텐던 장치를 적용한 구조물의 지진응답제어를 위한 최적화 방법을 제시한 것이다. 텐던을 이용한 구조물 지진응답제어 문제의 정식화를 위해 Ricatti 폐회로 제어이론 및 위상보정에 의한 시간지연현상을 도입하였으며, 상태방정식의 해를 산정하기 위해 전달 행렬을 이용한 수치해석법을 이용 사다리꼴적분법에 의해 상태벡터의 해를 산정하였다. 성능지수의 최적화를 위해, 최소 가중행렬비를 설계변수로, IBC 2000의 허용층간변위 규정과 텐던의 최대제어력을 제약조건으로 하여, SUMT 기법에 의해 최적 해를 산정토록 최적제어 프로그램을 개발하였다. 8층 빌딩구조물에 대한 적용 예에서, 최적제어를 적용한 시스템이 비제어 시스템에 비해 층간제어효과가 우수하고, 일정 가중행렬비 적용 제어시스템에 비해 낮은 성능지수가 요구되었다.

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2MW급 직접구동형 풍력터빈 제어시스템 개발 (Development of Control System for 2MW Direct Drive Wind Turbine)

  • 문준모;장정익;윤광용;조광명;이권희
    • 풍력에너지저널
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    • 제2권1호
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    • pp.90-96
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    • 2011
  • The purpose of this paper is to describe the control system for optimal performance of 2MW gearless PMSG wind turbine system, and to afford some techniques of the algorithm selection and design optimization of the wind turbine control system through analysis of load calculation and control characteristic. Wind turbine control system is composed of the main control system and remote control and monitoring system. The main control system is industrial PC based controller, and the remote control and monitoring system is a server based computer system. The main control system has a supervisory control of the wind turbine with operation procedures and power-speed control through the torque control by pitch angle. There are some applications to optimize the wind turbine system at the starting mode with increasing of rotor speed, and cut-in operating mode to prevent trundling cut-in and cut-out, a gain scheduling of pitch PID controller, torque scheduling and limitation of generation power by temperature limitation or remote command by remote control and monitoring system. Also, the server operation program of the remote control and monitoring system and the design of graphical display are described in this paper.

최적 FIR 필터를 사용한 강인제어기 (Robust Controller with Optimal FIR Filter)

  • 김명준;권오규;이준화;권욱현
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1993년도 하계학술대회 논문집 A
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    • pp.323-325
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    • 1993
  • In this paper, an output feedback controller is proposed for continuous time-invariant linear systems. The proposed controller, LQ-FIR consists of an LQ control gain and an optimal FIR filter. The LQ-FIR controller is derived, and the stability of the closed loop system is proved. The bounds of parameter variations guaranteeing the closed loop stability are obtained, when the LQ-FIR controller is applied to the system with model uncertainties.

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Model 추종형 Servo Controller에 의한 위치제어계의 설계 (The Design of Position Controll System by Model Following Servo Controller)

  • 장기효;하홍곤;홍창희
    • 한국통신학회논문지
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    • 제16권1호
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    • pp.1-12
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    • 1991
  • In this paper the design and construction of discrete model following servo dontroller on the position control system is proposed. The operational time delay of the plant in the controller which is proposed, is considered and the system which is added by the integral compensation in first order difference equation is constructed. By applying the optimal regulator method to the system, the method which find the optimal state feedback gain is developed theoretically. The output of a model which is correspond to a DC Servo motor follow quickly the speed response of a DC Servo motor and the velocity error in ansteady-state is reduced in zero and the position response is controlled correctly, the performance of the controller is contoller is confirmed by Computer Simulation.

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Maximizing the Selection Response by Optimal Quantitative Trait Loci Selection and Control of Inbreeding in a Population with Different Lifetimes between Sires and Dams

  • Tang, G.Q.;Li, X.W.;Zhu, L.;Shuai, S.R.;Bai, L.
    • Asian-Australasian Journal of Animal Sciences
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    • 제21권11호
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    • pp.1559-1571
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    • 2008
  • A rule was developed to constrain the annual rate of inbreeding to a predefined value in a population with different lifetimes between sires and dams, and to maximize the selection response over generations. This rule considers that the animals in a population should be divided into sex-age classes based on the theory of gene flow, and restricts the increase of average inbreeding coefficient for new offspring by limiting the increase of the mean additive genetic relationship for parents selected. The optimization problem of this rule was formulated as a quadratic programming problem. Inputs for the rule were the BLUP estimated breeding values, the additive genetic relationship matrix of all animals, and the long-term contributions of sex-age classes. Outputs were optimal number and contributions of selected animals. In addition, this rule was combined with the optimization of emphasis given to QTL, and further increased the genetic gain over the planning horizon. Stochastic simulations of closed nucleus schemes for pigs were used to investigate the potential advantages obtained from this rule by combining the standard QTL selection, optimal QTL selection and conventional BLUP selection. Results showed that the predefined rates of inbreeding were actually achieved by this rule in three selection strategies. The rule obtained up to 9.23% extra genetic gain over truncation selection at the same rates of inbreeding. The combination of the extended rule and the optimization of emphasis given to QTL allowed substantial increases in selection response at a fixed annual rate of inbreeding, and solved substantially the conflict between short-term and long-term selection response in QTL-assisted selection schemes.

DESIGN OF AN $H^{\infty}$ CONTROLLER WITH PREVIEW

  • Choi, Chintae;Kim, Jong-Shik
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 Proceedings of the Korea Automatic Control Conference, 11th (KACC); Pohang, Korea; 24-26 Oct. 1996
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    • pp.44-47
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    • 1996
  • An optimal preview controller based on the discrete-time $H_{.inf}$ control is presented. The preview controller is synthesized by considering the bounded unknwon disturbances as well as previewable commands and disturbances. The controller derivation procedure is analogous to the LQ-based scheme. The designed preview gain matrix has a similar structure as the LQ-based one. As the infinity norm .gamma. of the transfer function matrix tends to .inf., the preview gains obtained by $H_{\infty}$ control method approach to the gains by the LQR. The LQ-based preview gains are verified to be subsets of the $H_{.inf}$ -based preview gains..

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적응 최적 출력 제어 (Adaptive Optimal Output Feedback Control)

  • 신현철;변증남
    • 대한전자공학회논문지
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    • 제19권2호
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    • pp.31-37
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    • 1982
  • 이산 시간계에서 실수의 극을 갖는 다입력, 다출력 프로세스에 대하여 유용한 제어방법이 제안 되었다. 이 제어방법은 적응제어와 최적 제어의 장점을 모두 가지며, 프로세스의 변수가 서서히 변한다는 가정하에서, 다이내믹스를 갖는 제어기의 설계에 응용될 수 있다. 프로세스 변수의 감식은 ARMA형태로 이루어지며 궤환 메트릭스의 최적화는 상태 변수 공간에서 이루어진다.

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Design of LMI-Based H$\infty$ Controller for Robot Manipulators

  • Park, Kwang-Sung;Park, Yoon-Ho;Park, Jin-Bae
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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    • pp.151-156
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    • 1998
  • In this paper, we present new control method for robot manipulators. The design objective can be the implementation of minimax controller with H$_{\infty}$ performance via LMI approach to guarantee the robustness and to obtain the exact tracking performance for robot manipulators with system parameter uncertainty and exogenous disturbance. We show that the Algebraic Riccati equation (ARE) which is needed for the construction of H$_{\infty}$ controller can be recast into the Algebraic Riccati Inequality (ARI) and the optimal control gain can be obtained by convex optimization method. Then, we will apply the proposed controller to rigid robot manipulators for verifying the performance of our controller.

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비대칭형 유압 실린더를 사용한 능동 현가 시스템의 RBF 신경회로망을 이용한 제어기 설계 (Nonlinear Control of Active Suspensions using RBF Network with Asymmetric Hydraulic Cylinder)

  • 장유진;김상우
    • 대한전기학회논문지:전력기술부문A
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    • 제48권5호
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    • pp.593-600
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    • 1999
  • This paper suggests a suboptimal control scheme of an active suspension system with an asymmetric hydraulic cylinder. In this paper a quarter car model including a nonlinear actuator dynamics is used. A feedback linearization technique is applied to obtain a linear model. An LQ regulator is designed with the linear model to keep robustness against sprung mass variation. The gain of the LQ regulator which depends on the damping coefficient of the damper is calculated by using an RBF neural network for real time application. The improvement achieved with our design is illustrated through comparative simulations.

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