• International Journal of Control, Automation, and Systems
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• 제6권2호
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• pp.269-277
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• 2008

This paper proposes a necessary and sufficient condition of convergence in the $L_2$-norm sense for a feedback-based iterative learning control (ILC) system including a multi-input multi-output (MIMO) linear time-invariant (LTI) plant. It is shown that the convergence conditions for a nominal plant and an uncertain plant are equal to the nominal performance condition and the robust performance condition in the feedback control theory, respectively. Moreover, no additional effort is required to design an iterative learning controller because the performance weighting matrix is used as an iterative learning controller. By proving that the least upper bound of the $L_2$-norm of the remaining tracking error is less than that of the initial tracking error, this paper shows that the iterative learning controller combined with the feedback controller is more effective to reduce the tracking error than only the feedback controller. The validity of the proposed method is verified through computer simulations.

• Earthquakes and Structures
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• 제24권4호
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• pp.247-258
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• 2023

Multiple pounding tuned rolling mass damper (MPTRMD) distributed in the cavity of voided slabs is proposed to passively control multi-story frame structures, which disperses the mass of the oscillator to multiple dampers so that the control device can be miniaturized without affecting the vibration control performance. The mechanism and the differential motion equations of the MPTRMD-controlled multi-degree-of-freedom system are derived based on the Lagrange principle. Afterward, this advanced RMD is applied to a simplified 20-floor steel frame to evaluate the seismic control performance in the numerical analysis. A four-storey frame structure equipped with MPTRMD is then taken for a shaking table test to verify its effectiveness of control performance. The pounding mechanism has been detailed studied numerically and experimentally as well. The numerical and experimental results show that the proposed damper is practically promising not only for its prominent control performance but also for its lightweight and space-saving. Additionally, the pounding mechanism influenced by the variable impact parameters exhibits a balance between the two effects of motional limitations and energy dissipation.

• 한국산업정보학회논문지
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• 제10권2호
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• pp.21-25
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• 2005

본 연구는 인간의 정신부하작업중 반응시간이 제한된 긴급상황에서 시스템이 비정상적인 상태로 변화할 경우 인간의 수행도 특성을 살펴보고 이를 보조할 수 있는 보조장치의 설계에 도움을 주는 기준 안을 제시하고자 한다. 긴급상황에서 최우선시 되는 수행도는 반응시간보다는 시스템을 성공적으로 제어하여 비극적인 재해를 방지하는 일이다. 그러므로 여러 작업 수행도들 중에서 제어에 실패하게 되는 요인의 영향도를 알아내는 것이 중요하다. 실험결과 인간의 반응은 극히 제한된 짧은 반응시간내의 단일작업에서의 수행도는 시스템의 전체 영향도를 제대로 반영하지 못함을 알 수 있었다. 이럴 경우 부수작업을 부여했을 때 시스템의 변화 요인의 영향도를 더욱 잘 나타내는 것임을 유도하였다. 그러므로 시스템의 상황이 비 정상적인 상태로 진행될 경우, 특히 이러한 상황에서 반응해야 할 시간이 제한적일 경우 수행도 측정에는 다양한 형태의 부수작업을 개발하고 이를 이용한 측정이 더욱 효율이 있다는 점을 제시한다. 이러한 실험의 결과를 유추해보면 안전장치 기기의 설계를 위해서는 운용되는 상황에 맞는 측정방법이 개발되어야 긴급 상황의 수행도를 측정할 수 있다.

• 한국치위생학회지
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• 제21권5호
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• pp.675-683
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• 2021

Objectives: This study aimed to verify the relations of COVID-19 infection-related knowledge, dental infection control performance, and psychosocial health of dental hygienists. Methods: From the data was analyzed through the frequency analysis, t-test, one way ANOVA, and pearson's correlation analysis with a total of 198 dental hygienists using SPSS Statistics 21.0. Results: The correct answer rate for knowledge about COVID-19 was higher with a bachelor's degree or higher. Thus, when the level of education was higher, the performance was also high (p<0.01). COVID-19 infection control performance was highly shown in case of high age (4.43) (p<0.05) and the married (4.42) (p<0.01). Infection control performance was high when they had an educational experience of COVID-19 infection control (4.46), and when the infection control guidebooks were equipped in their workplaces (p<0.001). Degree of psychosocial health of research subjects was shown in the order of potential stress (60.6%), high-risk stress (23.7%), and healthy (15.7%). Infection control performance was higher, the psychosocial health was healthy. Conclusions: For the response to COVID-19 infectious disease and the preparation for mutated viruses and new infectious diseases in the future, it would be necessary to establish the concrete measures for establishing the strict infection control system for dental clinics and also enhancing the psychosocial health of dental hygienists.

• Smart Structures and Systems
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• 제19권5호
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• pp.487-497
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• 2017

Semi-active devices use the building's own motion to produce resistive forces and are thus strictly dissipative and require little power. Devices that independently control the binary open/closed valve state can enable novel device hysteresis loops that were not previously possible. However, some device hysteresis loops cannot be obtained without active analog valve control allowing slower, controlled release of stored energy, and is presents an ongoing limitation in obtaining the full range of possibilities offered by these devices. This in silico study develops a proportional-derivative feedback control law using a validated nonlinear device model to track an ideal diamond-shaped force-displacement response profile using active analog valve control. It is validated by comparison to the ideal shape for both sinusoidal and random seismic input motions. Structural application specific spectral analysis compares the performance for the non-linear, actively controlled case to those obtained with an ideal, linear model to validate that the potential performance will be retained when considering realistic nonlinear behaviour and the designed valve control approach. Results show tracking of the device force-displacement loop to within 3-5% of the desired ideal curve. Valve delay, rather than control law design, is the primary limiting factor, and analysis indicates a ratio of valve delay to structural period must be 1/10 or smaller to ensure adequate tracking, relating valve performance to structural period and overall device performance under control. Overall, the results show that active analog feedback control of energy release in these devices can significantly increase the range of resetable, valve-controlled semi-active device performance and hysteresis loops, in turn increasing their performance envelop and application space.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.2612-2616
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• 2003

Method for performance monitoring and diagnosis of a MIMO control system has been studied aiming at application to model predictive control (MPC) for industrial processes. The performance monitoring part is designed on the basis of the traditional SPC/SQC method. To meet the underlying premise of Schwart chart observation that the observed variable should be univariate and independent, the process variables are decorrelated temporally as well as spatially before monitoring. The diagnosis part was designed to identify the root of performance degradation among the controller, process, and disturbance. For this, a method to estimate the model-error and disturbance signal has been devised. The proposed methods were evaluated through numerical examples.

• 대한전기학회논문지:전기기기및에너지변환시스템부문B
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• 제53권9호
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• pp.569-575
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• 2004

This paper is proposed adaptive fuzzy-neural network(FNN) controller for high performance of induction motor drive. The design of this algorithm based on FNN controller that is implemented using fuzzy control and neural network. This controller uses fuzzy rule as training patterns of a neural network. Also, this controller uses the back-propagation method to adjust the weights between the neurons of neural network in order to minimize the error between the command output and actual output. A model reference adaptive scheme is proposed in which the adaptation mechanism is executed by fuzzy logic based on the error and change of error measured between the motor speed and output of a reference model. The control Performance of the adaptive FNN controller is evaluated by analysis for various operating conditions. The results of analysis prove that the proposed control system has strong high performance and robustness to parameter variation. and steady- state accuracy and transient response.

• 한국전자파학회:학술대회논문집
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• 한국전자파학회 2003년도 종합학술발표회 논문집 Vol.13 No.1
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• pp.108-112
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• 2003

A feedforward amplifier, which is composed of several components, is an open loop system. Therefore, feedforward amplifiers are apt to deteriorate the performance according to the environmental changes even though the cancellation performance and the linearization bandwidth of feedforward systems are superior to other linearization methods. A control method is needed for maintaining the original performance of feedforward amplifiers or to keep the performance within a little error bounds. In this paper, an adaptive control method, which has a good convergence characteristic and is easy to implement, is suggested. The characteristics of the suggested control method compare with the characteristics of other control methods and the simulation results are presented.

• 동력기계공학회지
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• 제14권5호
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• pp.56-62
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• 2010

In this paper, a recurrent cerebellar modulation articulation control (RCMAC) has been developed for improvement of noise attenuation performance in active noise control system. For the narrow band noise, a filter-x least mean square (FXLMS) method has bee frequently employed as an algorithm for active noise control (ANC) and has a partial satisfactory noise attenuation performance. However, noise attenuation performance of an ANC system with FXLMS method is poor for broad band noise and nonlinear path since it has linear filtering structure. Thus, an ANC system using RCMAC is proposed to improve this problem. Some simulations in duct system using harmonic motor noise and KTX cabin noise as a noise source were executed. It is shown that satisfactory noise attenuation performance can be obtained.

• 경영과학
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• 제31권3호
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• pp.77-94
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• 2014

This study empirically investigated the relationships among inter-organizational cost management (IOCM), cooperation with suppliers, information exchange between partners, inter-organizational learning, control integration, and the supply-chain performance of a firm. The results showed that the adoption of IOCM positively affects the collaboration between buyers and suppliers, which also leads to the increased information flow between them. According to the results of this study, it was found that inter-organizational information flow causes inter-organizational learning, and this learning contributes to the improved supply-chain performance. In this study, the positive effects of the cooperation with suppliers through IOCM on the control integration in supply-chains were not empirically confirmed. However, the impact of IOCM on control integration was significant and positive. Finally, the fact that the enhanced control integration can improve the supply-chain performance of a firm was empirically demonstrated.