• Title/Summary/Keyword: 게인스케줄링

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Performance Evaluation of the Full-Scale Active Mass Dampers based on a Numerical Model and Test (실물크기 능동형 제어장치의 수치모델 및 실험에 기초한 성능 평가)

  • Jeon, Min-Jun;Lee, Sang-Hyun;Woo, Sung-Sik;Mun, Dae-Ho
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.28 no.6
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    • pp.635-643
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    • 2015
  • In this study, the experimental test results are given to confirm the control efficiency of the linear control algorithm used for designing the active mass dampers(AMD) which are supposed to be installed at Incheon international airport control tower. The comparison between the results from test and numerical analysis is conducted and it was observed that the AMD showed the control performance expected by the numerical model. The effects of the gain scheduling and constant-velocity signal added to the control signal calculated by the algorithm is identified through the observation that the AMD always show behavior within the given stroke limit without any loss of the desired control performance. The phase difference between the accelerations of the structure and the AMD were almost close to 90 degree, which implies that the AMD absorbed the structural energy effectively.

A Study on Gain Scheduling Programming with the Fuzzy Logic Controller of a 6-axis Articulated Robot using LabVIEW® (LabVIEW®를 이용한 6축 수직 다관절 로봇의 퍼지 로직이 적용된 게인 스케줄링 프로그래밍에 관한 연구)

  • Kang, Seok-Jeong;Chung, Won-Jee;Park, Seung-Kyu;Noe, Sung Hun
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.16 no.4
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    • pp.113-118
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    • 2017
  • As the demand for industrial robots and Automated Guided Vehicles (AGVs) increases, higher performance is also required from them. Fuzzy controllers, as part of an intelligent control system, are a direct control method that leverages human knowledge and experience to easily control highly nonlinear, uncertain, and complex systems. This paper uses a $LabVIEW^{(R)}-based$ fuzzy controller with gain scheduling to demonstrate better performance than one could obtain with a fuzzy controller alone. First, the work area was set based on forward kinematics and inverse kinematics programs. Next, $LabVIEW^{(R)}$ was used to configure the fuzzy controller and perform the gain scheduling. Finally, the proposed fuzzy gain scheduling controller was compared with to controllers without gain scheduling.

Design of Temperature based Gain Scheduled Controller for Wide Temperature Variation (게인 스케줄링을 이용한 광대역 온도제어기의 설계)

  • Jeong, Jae Hyeon;Kim, Jung Han
    • Journal of the Korean Society for Precision Engineering
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    • v.30 no.8
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    • pp.831-838
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    • 2013
  • This paper focused on the design of an efficient temperature controller for a plant with a wide range of operating temperatures. The greater the temperature difference a plant has, the larger the nonlinearity it is exposed to in terms of heat transfer. For this reason, we divided the temperature range into five sections, and each was modeled using ARMAX(auto regressive moving average exogenous). The movement of the dominant poles of the sliced system was analyzed and, based on the variation in the system parameters with temperature, optimal control parameters were obtained through simulation and experiments. From the configurations for each section of the temperature range, a temperature-based gain-scheduled controller (TBGSC) was designed for parameter variation of the plant. Experiments showed that the TBGSC resulted in improved performance compared with an existing proportional integral derivative (PID) controller.

Model-based Gain Scheduling Strategy for Air-to-fuel Ratio Control Algorithm of Passenger Car Diesel Engines (승용디젤엔진의 공연비 제어 알고리즘을 위한 모델기반 게인 스케줄링 전략에 대한 연구)

  • Park, Inseok;Hong, Seungwoo;Sunwoo, Myoungho
    • Transactions of the Korean Society of Automotive Engineers
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    • v.23 no.1
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    • pp.56-64
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    • 2015
  • This study presents a model-based gain scheduling strategy for PI-based EGR controllers. The air-to-fuel ratio is used as an indirect measurement of the EGR rate. In order to cope with the nonlinearity and parameter varying characteristics of the EGR system, we proposed a static gain model of the EGR system using a new scheduling parameter. With the 810 steady-state measurements, the static gain model achieved 0.94 of R-squared value. Based on the static gain of the EGR system, the PI gains were robustly designed using quantitative feedback theory. Consequently, the gains of the PI controller are scheduled according to the static gain parameter of the EGR path in runtime. The proposed model-based gain scheduling strategy was validated through various operating conditions of engine experiments such as setpoint step responses and disturbance rejections.

Experimental Studies of Controller Design for a Car-like Balancing Robot with a Variable Mass (무게 변화에 따른 차륜형 밸런싱 로봇의 제어기 설계 및 실험연구)

  • Kim, Hyun-Wook;Jung, Seul
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.4
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    • pp.469-475
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    • 2010
  • This paper presents controller design of a two wheeled mobile inverted pendulum robot for one man transportation vehicle. Since the overall mass is varying with different drivers, suitable controller gains are obtained through experimental studies. Variation of the center of gravity due to different masses also affects stable balancing control. Thus, the desired balancing angle si required to be modified with respect to different masses. To measure masses for different drivers, a weight scale is used and those data are used for balancing control through communication. The gain scheduling method of using data obtained from experimental studies allows the robot to have stable balancing performances.

Speed Control of Marine Diesel Engines Using Fuzzy Gain Scheduling (퍼지 게인 스케줄링을 이용한 선박 디젤기관의 속도 제어)

  • 박승수;이현식;김도응;진강규
    • Journal of Advanced Marine Engineering and Technology
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    • v.26 no.6
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    • pp.638-645
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    • 2002
  • This paper presents a scheme for integrating PID control, gain scheduling and emerging techniques in the field of artificial intelligence, such as fuzzy logic and genetic algorithms for the speed control of a marine diesel engine. At first, local PID controllers are designed based on a local model obtained at each speed mode, whose parameters are optimally tuned using a real-coded genetic algorithm. Then, fuzzy "if-then" rules combine the local controllers as a consequence part to implement fuzzy gain scheduling. To demonstrate the performance of the proposed fuzzy PID controller on overall operating conditions, a set of simulation works on B'||'&'||'W's 4L80MC diesel engine are carried out.t.

Performance Verification of the Modified Gain Scheduling Controller by Speed Control of a DC Motor (DC 모터 제어를 통한 개선된 게인 스케줄링 제어기의 성능 검증)

  • Cheon, Min-Kyu;Park, Mig-Non;Hyun, Chang-Ho;Lee, Hee-Jin
    • Proceedings of the KIEE Conference
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    • 2006.10c
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    • pp.312-314
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    • 2006
  • This paper describes performance of the modified gain scheduling controller by speed control of a DC motor. The modified gain scheduling controller can perform tracking at more than one equilibrium points. The modified gain scheduling controller which considers transient response according to added zero shows better result of tracking performance than the unmodified gain scheduling controller shows.

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Gain Scheduled Fuzzy Control on Aircraft Flight Control (게인 스케줄링 퍼지제어의 비행제어에 대한 적용)

  • 홍성경;심규홍;박성수
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.2
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    • pp.125-130
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    • 2004
  • This paper describes an approach for synthesizing a Fuzzy Logic Controller(FLC) that combines the benefits of fuzzy logic control and fuzzy logic gain scheduling for the F/A-18 aircraft. Specially, fuzzy rules are utilized on-line to determine the denoralization factor(Κ) of a feedback fuzzy controller based on the dynamic pressure(Q) indicateing the region of the flight envelop the aircraft is operating in. Simulation results demonstrate that the proposed FLC provides excellent compensation for time-varying and/or nonlinear characteristics of the aircraft, and that it also exhibits satisfactory robustness with noisy air data sensors.

Gain Scheduling for Tension Control (장력제어를 위한 게인 스케줄링)

  • 이동욱;박성한;안병준;이만형
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2002.04a
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    • pp.505-509
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    • 2002
  • The looper control of hot strip finishing mill is one of the most important control item In hot strip rolling mill process. Loopers are placed between finishing mill stands and control the mass flow of the two stands. Another important action of the looper is to control the strip tension which influences on the width of the strip. So it is very important to control both the looper angle and the strip tension simultaneously but the looper angle and the strip tension are strongly interacted by each other. The gain scheduling is to break the control design process into two steps. First, one designs local linear controllers based on linerizations of the nonlinear system at several different operating conditions. Second, a global nonlinear controller for the nonlinear system is obtained by interpolating.

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