• Title/Summary/Keyword: 이득계획

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Gain Scheduling Controller Design and Performance Evaluation for Thrust Control of Variable Thrust Solid Rocket Motor (가변 추력 고체추진기관의 추력 제어를 위한 이득 계획 제어기 설계 및 성능 분석)

  • Hong, SeokHyun
    • Journal of the Korean Society of Propulsion Engineers
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    • v.20 no.1
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    • pp.28-36
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    • 2016
  • Theoretical model of a variable thrust solid rocket motor with a pintle nozzle was derived. For the chamber pressure control, classical model linearization and proportional-intergral controller was used. And then two types of gain scheduling controller were suggested to imporve controller performance for the non-linear propulsion model. Considering characteristics of systems, control gains were scheduled by chamber pressure or free volume. Step responses of each controllers were compared. As a result, the proper control algorithm about characteristics of variable thrust rocket motor was suggested.

A Design of Suspension Controller for Magnetic Levitation System Using Gain Scheduling Control (이득계획제어에 의한 자기부상시스템의 부상제어기 설계)

  • Byun, Yeun-Sub;Cho, Tae-Shin;Kim, Young-Chol
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.6
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    • pp.57-66
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    • 1999
  • In this paper, we propose design methods of suspension controller for magnetically levitated system(MAGLEV). In this interior, the study of Electromagnetic Suspension(EMS) which has several advantages is chiefly achieved but, because the EMS has highly nonlinear and unstable property it is difficult to design the suspension controller maintaining stability and high performance. Here a Gain Scheduling Control(GSC) based on pole-placement scheme and on linear quadratic gaussian(LQG) design is separately presented. The several control performance is shown by simulation.

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Pressure Control Law of Gas Generator Considering Combustion Volume Change (연소공간 변화를 보상하는 가스발생기 압력 제어기법)

  • Park, Ik-Soo;Lee, Jae-Yoon;Choi, Ho-Jin;Kim, Jung-Hoe;Yoon, Hyun-Gull;Lim, Jin-Shik
    • Journal of the Korean Society of Propulsion Engineers
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    • v.16 no.3
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    • pp.34-40
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    • 2012
  • A pressure control law to regulate pressure of gas generator is suggested. To design a model based control law, the governing equation which consists of Robert and conservation equation is built and verified through the ground burning test. PID and nonlinear adaptive control laws are designed to analyze the loop response characteristics under the system which has varying eigen properties arisen from combustion volume change. It is suggested that new approach, gain scheduling design, is required to overcome the defects identified from numerical simulation results of the two control laws. The newly suggested scheme shows good control performance even under disturbances and measurement noise.

Pressure control law of gas generator considering combustor volume change (연소공간 변화를 보상하는 가스발생기 압력 제어기법)

  • Park, Ik-Soo;Lee, Jae-Yoon;Choi, Ho-Jin;Park, Geun-Hong;Yoon, Hyun-Gull;Lim, Jin-Shik
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2011.11a
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    • pp.618-623
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    • 2011
  • A pressure control law to regulate pressure of gas generator is suggested. To design a model based control law, the governing equation which is consisted of Robert and conservation equation is built and verified through the ground burning test. PID and nonlinear adaptive control laws are designed to evaluate the loop response characteristics under the system which has varying eigen properties as combustor volume is increased. It is suggested that new approach, gain scheduling design, is required to overcome the defects identified from numerical simulation results of the two control laws. The newly suggested scheme showed good control performance even under disturbances and measurement noise.

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Maximum Profit Priority Goods First Loading Algorithm for Barge Loading Problem (바지선 적재 문제의 최대이득 물품 우선 적재 알고리즘)

  • Lee, Sang-Un
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.10
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    • pp.169-173
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    • 2014
  • Nobody has yet been able to determine the optimal solution conclusively whether NP-complete problems are in fact solvable in polynomial time. Gu$\acute{e}$ret et al. tries to obtain the optimal solution using linear programming with $O(m^4)$ time complexity for barge loading problem a kind of bin packing problem that is classified as nondeterministic polynomial time (NP)-complete problem. On the other hand, this paper suggests the loading rule of profit priority rank algorithm with O(m log m) time complexity. This paper decides the profit priority rank firstly. Then, we obtain the initial loading result using the rule of loading the good has profit priority order. Finally, we balance the loading and capability of barge swap the goods of unloading in previously loading in case of under loading. As a result of experiments, this algorithm reduces the $O(m^4)$ of linear programming to O(m log m) time complexity for NP-complete barge loading problem.

The Effect of Unexpected Price Changes on Consumers′ Purchasing Behaviors (예상치 못한 가격변화가 소비자의 지출행동에 미치는 영향)

  • 하환호;현정석
    • Journal of Distribution Research
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    • v.8 no.2
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    • pp.41-65
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    • 2003
  • The objectives of this study are to investigate how the difference of consumer behavior between the expected and unexpected price discounts(increases), and mental accounting process affect spending account. Key findings of the study are as follows. First, it is shown that consumer would regard a windfall gain caused by the expected price discount and unexpected one as a different thing(gain}, Second, this study shows that if consumers are presented the price discount on the former purchased item in the case consumers purchase two kinds of items together, they would prefer spending more money on the later item to spending more money on the discounted item. Third, it is shown that consumers are willing to do a planned purchase when they find a store's price raise before arriving at a store(expected increasing) rather than after arriving at a store(unexpected increasing). The theoretical as well as practical implications were also discussed.

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Approximate Multi-Objective Optimization of a Quadcopter through Proportional-Integral-Derivative Control (PID 제어를 통한 쿼드콥터 다중목적 근사최적설계)

  • Yoon, Jaehyun;Lee, Jongsoo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.39 no.7
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    • pp.673-679
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    • 2015
  • In this study, the nondominated sorting genetic algorithm (NSGA-II) is used to obtain the optimized proportional-integral-derivative (PID) gain value that can quickly recover the motion of a quadcopter after a disturbance. Prior to PID control, the four-rotor quadcopter interval was defined using computational fluid dynamics (CFD). Through the definition of this model, the PID control algorithm was generated. To construct a response surface model, D-optimal programming was used for the generation of experimental points. For this purpose, a gain value that satisfies both the roll and altitude PID gain values is obtained. Using the NSGA-II, the gain value of shorten time of the quadcopter motion control can be optimized.

Comparison of Sampling and Estimation Methods for Economic Optimization of Cumene Production Process (쿠멘 생산 공정의 경제성 최적화를 위한 샘플링 및 추정법의 비교)

  • Baek, Jong-Bae;Lee, Gibaek
    • Korean Chemical Engineering Research
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    • v.52 no.5
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    • pp.564-573
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    • 2014
  • Economic optimization of cumene manufacturing process to produce cumene from benzene and propylene was studied. The chosen objective function was the operational profit per year that subtracted capital cost, utility cost, and reactants cost from product revenue and other benefit. The number of design variables of the optimization are 6. Matlab connected to and controlled Unisim Design to calculate operational profit with the given design variables. As the first step of the optimization, design variable points was sampled and operational profit was calculated by using Unisim Design. By using the sampled data, the estimation model to calculate the operational profit was constructed, and the optimization was performed on the estimation model. This study compared second order polynomial and support vector regression as the estimation method. As the sampling method, central composite design was compared with Hammersley sequence sampling. The optimization results showed that support vector regression and Hammersley sequence sampling were superior than second order polynomial and central composite design, respectively. The optimized operational profit was 17.96 MM$ per year, which was 12% higher than 16.04 MM$ of base case.

Control Gain Tuning of a Simultaneous Multi-Axis PID Control System by Taguchi Method (다구찌방법을 이용한 다축 동시 PID 제어시스템의 제어이득 조정)

  • Lee, Ki-Ha;Kim, Jong-Won
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.6
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    • pp.25-35
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    • 1999
  • This paper presents a control gain tuning scheme for multi-axis PID control systems by Taguchi method. As an experimental set-up, a parallel mechanism machine tool has been selected. This machine has eight servodrives and each servodrive has four control gains, respectively. Therefore, total 32 control gains have to be tuned. Through a series of design of experiments, an optimal and robust set of PID control gains is tuned. The index of the sum of position error and velocity error is reduced to 61.4% after the experimental gain tuning regardless of the feedrate variation.

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The Empirical Study Towards the Determinants of the Implementation of the Interorganizational System (기업간 정보시스템 구축계획 요인에 대한 실증적 연구)

  • 손달호
    • Journal of Korea Society of Industrial Information Systems
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    • v.5 no.3
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    • pp.1-9
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    • 2000
  • Computer-based systems operating between two or more co-operating organizations as part of their business relationship are genera11y referred to as inter-organizational systems(IOS). IOS automate aspects of transactional work between organizations and coordinate other activities. Consequently, the design, construction and maintenance of IOS require substantial planning and sensitivity to these broader issues. This paper demonstrates that IOS planning is still in its infancy, though there is widespread agreement as to the desired results from IOS planning and how it should be conducted. In general, there is an over-reliance on traditional information systems planning approaches and the majority of organizations experience difficulties with IOS planning.

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