• 산업경영시스템학회지
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• 제24권66호
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• pp.19-26
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• 2001

I propose the control chart pattern to provide a more comprehensive scheme for detecting process X and R shifts using individual observations in start-up process. It is important to automate the identification of special disturbances to facilitate real-time manufacturing. This papers formulates X-R charts for interpretation by artificial neural networks. In this papers, which uses the backpropagation algorithm, two samples are fed into the trained neural network to provide outputs ranging from 0 to 1. Simulation results sow that the performance of the proposed control chart using the neural network(NNCC) is quite promising. Using these NN charts, guidelines are given for detecting and classifying process X and R shifts.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.832-835
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• 1997

In this paper, we first analyze the structural limitation of the conventional PID controller in controlling unstable processes through mathematical proof. To overcome this structural limitation, we add an internal feedback loop to the PID controller. Secondly, we obtain conditions when unstable processes can be stabilized by a controller through an analytical analysis. Finally, we propose a simple on-line process identification and autotuning method for unstable processes. Many simulation results show that, in spite of its simplicity, the proposed on-line process identification method provides good accuracy in modeling the unstable process and acceptable robustness to measurement noises and disturbances. Also, the proposed autotuner shows good control performances for both servo and regulatory problems.

• 대한전기학회논문지:시스템및제어부문D
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• 제52권9호
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• pp.533-539
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• 2003

Reinforcement learning (RL) has been widely used as a learning mechanism of an artificial life system. However, RL usually suffers from slow convergence to the optimum state-action sequence or a sequence of stimulus-response (SR) behaviors, and may not correctly work in non-Markov processes. In this paper, first, to cope with slow-convergence problem, if some state-action pairs are considered as disturbance for optimum sequence, then they no to be eliminated in long-term memory (LTM), where such disturbances are found by a shortest path-finding algorithm. This process is shown to let the system get an enhanced learning speed. Second, to partly solve a non-Markov problem, if a stimulus is frequently met in a searching-process, then the stimulus will be classified as a sequential percept for a non-Markov hidden state. And thus, a correct behavior for a non-Markov hidden state can be learned as in a Markov environment. To show the validity of our proposed learning technologies, several simulation result j will be illustrated.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1995년도 하계학술대회 논문집 B
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• pp.673-675
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• 1995

A nonlinear process-model based control for main steam temperature control of a 100MW oil-fired drum-type fossil power plant is delveloped and its performances are compared to those of the conventional PID control. The process model for simulation is derived based "first priciple approach" and is validated in steady and transient conditions. The model is in good agreements with the field test data. Performances of the nonlinear PMBC for main steam temperature control are far superior to those of PID in all aspects for the disturbances of ramp increase in load and step change in fuel Btu value.

• International Journal of Quality Innovation
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• 제3권2호
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• pp.46-56
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• 2002

The presence of imprecise measurement may seriously affect the efficiency of process control and production cost. A cost model is derived to determine the design parameters of the economic asymmetric $\bar{X}$ and S control charts including measurement errors. The effects of imprecise measurement on the performance of the economic asymmetric $\bar{X}$ and S control charts and production cost are examined for the case where the process mean and process standard deviation may change. Application of the proposed control charts is demonstrated through an example. Numerical examples illustrate the effects of imprecise measurement on the design parameters of the proposed control charts. It shows that the imprecision measurement may seriously affrct the ability of the proposed control charts to detect process disturbances quickly, change the sampling frequency, and increase the production cost compared to the control charts excluding measurement errors.

• Journal of Electrical Engineering and Technology
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• 제12권5호
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• pp.2031-2042
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• 2017

In this paper, a novel traffic flow control method based-on ramp metering and speed regulation using an adaptive sliding mode control (ASMC) method along with a deadzoned parameter adaptation law is proposed at a stochastic macroscopic level traffic environment, where the influence of the density and speed disturbances is accounted for in the traffic dynamic equations. The goal of this paper is to design a local traffic flow controller using both ramp metering and speed regulation based on ASMC, in order to achieve the desired density and speed for the maintenance of the maximum mainline throughput against disturbances in practice. The proposed method is advantageous in that it can improve the traffic flow performance compared to the traditional methods using only ramp metering, even in the presence of ramp storage limitation and disturbances. Moreover, a prior knowledge of disturbance magnitude is not required in the process of designing the controller unlike the conventional sliding mode controller. A stability analysis is presented to show that the traffic system under the proposed traffic flow control method is guaranteed to be uniformly bounded and its ultimate bound can be adjusted to be sufficiently small in terms of deadzone. The validity of the proposed method is demonstrated under different traffic situations (i.e., different initial traffic status), in the sense that the proposed control method is capable of stabilizing traffic flow better than the previously well-known Asservissement Lineaire d'Entree Autoroutiere (ALINEA) strategy and also feedback linearization control (FLC) method.

• 한국측량학회지
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• 제29권6호
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• pp.651-657
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• 2011

GPS 관측방정식에서 전리층 지연값과 모호정수는 상관관계가 높기 때문에 충분한 시간동안 취득된 자료가 있어야 모호정수의 결정이 가능하다. 특히, 짧은 시간 동안 취득된 자료를 이용하여 정밀측위를 수행하는 신속정지측위의 경우 모호정수의 결정 여부는 측위정확도에 영향을 주는 핵심 요소라 할 수 있다. 본 연구에서는 전리층 교란이 상대적으로 심했던 2011년 2월 19일 서산, 수원, 원주 상시관측소에서 수신된 GPS 관측자료를 이용하여 신속정지측위를 수행한 후 모호정수가 결정되는 데 필요한 시간을 계산하였다. 총 141개의 세션에 대해 신속정지 측위를 수행하였으며 동일한 시간대에 해당되는 이중차분 전리층 지연 평균값과의 상관관계를 분석함으로써 전리층 교란이 신속정지측위 정확도에 미치는 영향을 분석하였다. 모호정수를 결정하는데 필요한 시간과 이중차분 전리층 지연 평균값과의 상관계수는 0.31로 나타났으며 이로부터 전리층의 교란이 신속정지측위 정확도에 영향을 미치고 있음을 알 수 있다. 따라서 태양폭풍 발생 시 불가피하게 GPS 측량을 수행하는 경우 충분한 시간 동안 취득된 자료를 사용하여야 정밀측위가 가능하다.

• 치과방사선
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• 제25권2호
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• pp.513-520
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• 1995

Two thousand-two hundred-forty-three cases of various lesions of the oral and maxillofacial region in children under 16 years of age were reviewed. The lesions were classified by 10 groups; osteomyelitis, cysts, benign tumors, malignant tumors, fibro-osseous lesions, developmental disturbances, antral lesions, TMJ lesions, salivary gland lesions, and other lesions. The obtained results were as follows; 1. Developmental disturbances, especially cleft alveolus and palate, was the most common lesions (25.7％), followed by cysts (22.5％), antral lesions (12.7％), benign tumors (11.9％) and osteomyelitis (9.3％). 2. With the time, the incidence of osteomyelitis and malignant tumors has been decreased, but that of developmental disturbances, cysts and antral lesions has been increased. 3. The sex distribution was relatively equal for the entire series, with male predominence in cysts, malignant tumors, developmental disturbanes and salivary gland lesions and with female predominence in TMJ lesions. 4. Children with malignant tumors and osteomyelitis were somewhat younger and those with TMJ lesions were somewhat older. 5. Heading the list of each group except osteomyelitis was dentigerous cyst, odontoma, malignant lymphoma, fibrous dysplasia, cleft alveolus and palate, inflammatory change, degenerative change of condylar process, sialolithiasis and simple bone cyst respectively.

• Transactions on Control, Automation and Systems Engineering
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• 제1권1호
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• pp.1-7
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• 1999

This paper gives a simulation study of a new fuzzy logic control(FLC) approach for the mold level control in continuous casting processes. The proposed FLC is PID type hybridizing the conventional fuzzy PI control and Fuzzy PD control with a simplified design scheme. It is shown that, compared with the conventional control, this new control strategy can achieve superior performance for steady-state response and is more robust against process parameter variations and disturbances.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1986년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 17-18 Oct. 1986
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• pp.78-82
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• 1986

In the process control applications of self tuning control, a major concern of the control problem is to handle an offset caused by load disturbances and random steps occuring at random instance of time. Conventionally an integrator is incorperated in the forward path of the controller to eliminate such an offset. But this approach causes a difficulty if the adaptive part of the resultant controller is to be evaluated. In this paper a method of analyzing the adaptive system and improving the offset effect is suggested for a class of referance model method in the self tuning adaptive control system.