• Title/Summary/Keyword: actual response

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Position Control of Motion Stage using Disturbance Observer (외란관측기를 이용한 모션 스테이지의 위치제어)

  • Park, Hae-Chun;Choi, Myung-Soo;Byun, Jung-Hwan
    • Journal of Power System Engineering
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    • v.17 no.3
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    • pp.82-88
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    • 2013
  • For commercialized servo drives of the motion stage to include embedded controller, external terminal is provided for tracking command and encoder output, but internal terminal is not for control input. Thus, it is difficult to combine out signal of embedded controller with that of external compensator such as disturbance observer. In this study, for precise tracking control of motion stage without hardware change of the servo drive, tacking control system is composed of an inner loop of servo drive and an outer loop of disturbance observer. Then, the control system is designed so that the output response of actual plant corresponds with nominal model's in transient state as well as in steady state. Finally, the experiment results show that the designed control system is effective to reconcile actual plant behavior with nominal model under nonlinear friction and parameter perturbation.

Computer Simulation to Predict Operating Behavior of a Gas Engine Driven Micro Combined Heat and Power System (소형 가스엔진 열병합발전의 운전거동 예측을 위한 컴퓨터 시뮬레이션)

  • Cho, Woo-Jin;Lee, Kwan-Soo;Kim, In-Kyu
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.22 no.12
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    • pp.873-880
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    • 2010
  • The present study developed a computer simulation program to determine the optimum strategy and capacity of a micro combined heat and power(CHP) system. This simulation program considered a part-load electrical/thermal efficiency and transient response characteristics of CHP unit. The result obtained from the simulation was compared with the actual operation of 30 kW gas engine driven micro CHP system. It was found that the simulation could reproduce the daily operation behavior, such as operating hours and mean load factor, closely to the actual behavior of the system and could predict the amount of electrical/thermal output and fuel consumption with the error of less than 12%.

Investigation on the Health and Safety Hazards of Construction Workers

  • Kal, Won-Mo;Park, Jong-Tae;Son, Ki-Sang
    • International Journal of Safety
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    • v.4 no.2
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    • pp.43-46
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    • 2005
  • The construction workers might be at the risk of many occupational injuries and illnesses. To protect workers from various hazards, industrial health and hygiene systems were specified for the construction workers by law. It is important to know the actual health and safety(H&S) conditions by tasks and the characteristics of injuries and illnesses of construction workers. This study was designed to investigate the actual conditions of construction workers exposed to various harmful substances and work elements including evaluation of health status of each worker and general H&S system. Questionnaire was sent to 600 construction workers nationwide and totally 367 people responded to it having 61.67% of response rate. The common construction hazards were dust(29.6%), noise(19.3%), repetitive motions(12.0%), handling excessive heavy materials(11.2%) in order. The repetitive motions and handling heavy materials related to muscle disorders accounted for 23.2%. The accident and injury types were in order of overexertion, falling, overturning, dropping or flying, electric shock, collision, etc.

Determination of dosing rate for water treatment using fusion of genetic algorithms and fuzzy inference system (유전알고리즘과 퍼지추론시스템의 합성을 이용한 정수처리공정의 약품주입률 결정)

  • 김용열;강이석
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.952-955
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    • 1996
  • It is difficult to determine the feeding rate of coagulant in water treatment process, due to nonlinearity, multivariables and slow response characteristics etc. To deal with this difficulty, the fusion of genetic algorithms and fuzzy inference system was used in determining of feeding rate of coagulant. The genetic algorithms are excellently robust in complex operation problems, since it uses randomized operators and searches for the best chromosome without auxiliary information from a population consists of codings of parameter set. To apply this algorithms, we made the look up table and membership function from the actual operation data of water treatment process. We determined optimum dosages of coagulant (PAC, LAS etc.) by the fuzzy operation, and compared it with the feeding rate of the actual operation data.

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A Study on the Determination of Dosing Rate for the Water Treatment using Genetic-Fuzzy (유전-퍼지를 이용한 정수장 응집제 주입률 결정에 관한 연구)

  • 김용열;강이석
    • Journal of Institute of Control, Robotics and Systems
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    • v.5 no.7
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    • pp.876-882
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    • 1999
  • It is difficult to determine the feeding rate of coagulant in the water treatment process, due to nonlinearity, multivariables and slow response characteristics, etc. To deal with this difficulty, the genetic-fuzzy system was used in determining the feeding rate of the coagulant. The genetic algorithms are excellently robust in complex optimization problems. Since it uses randomized operators and searches for the best chromosome without auxiliary informations from a population consists of codings of parameter set. To apply this algorithms, we made the lookup table and membership function from the actual operation data of the water treatment process. We determined optimum dosages of coagulant(LAS) by the fuzzy operation, and compared it with the feeding rate of the actual operation data.

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A Study on the Coagulant Dosage Control in the Water Treatment Using Real Number Genetic-Fuzzy (실수형 유전-퍼지를 이용한 정수장 응집제주입제어에 관한 연구)

  • Kim, Yong-Yeol;Kang, E-Sok
    • Journal of Korean Society of Water and Wastewater
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    • v.18 no.3
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    • pp.312-319
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    • 2004
  • The optimum dosage control is presumably the goal of every water treatment plant. However it is difficult to determine the dosage rate of coagulant, due to nonlinearity, multivariables and slow response characteristics, etc. To deal with this difficulty, the real number genetic-fuzzy system was used in determining the dosage rate of the coagulant. The genetic algorithms are excellently robust in complex optimization problems. Since it uses randomized operators and searches for the best chromosome without auxiliary informations from a population which consists of codings of parameter set. To apply this algorithms, we made the real number rule table and membership function from the actual operation data of the water treatment plant. We determined optimum dosages of coagulant(LAS) using the fuzzy operation and compared them with the dosage rate of the actual operation data.

Characteristics of Noise Attenuation with the Variation of Flow Condition and Hole Shape of Perforated Intruding Tues in Muffler (유동조건과 내부관 구명형상의 변화에 따른 소음기의 소음저감 특성)

  • Jung, Jin-Nyon;Kim, Won-Jin;Cho, Bum-Rae
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.10
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    • pp.87-93
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    • 1999
  • To propose a useful modelling method for an actual muffler, the noise attenuation effects of muffler was investigated according to the flow condition and the hole shape of tubes. In this work, the finite element method was used to calculate the transmission loss of muffler, The noise attenuation characteristics of four different types of muffler in the hole shape of tubes were compared mutually to find a more simple equivalent model. Analytical results showed that the overall value of transmission loss increases and the peaks of transmission loss curve shift to the low frequency with mean flow for the given muffler, Also the noise attenuation characteristics of the equivalent model having the split holes is almost the same as those of the actual muffler having many circular holes.

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A Study on the Dynamic Characteristics of AirshipThrough the Flight Test

  • Woo, Gui-Aee;Kim, Jong-Kwon;Cho, Kyeum-Rae;Lee, Dae-Woo
    • International Journal of Aeronautical and Space Sciences
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    • v.5 no.1
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    • pp.75-82
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    • 2004
  • Nowadays, many kinds of research for airship have being studied withincrease of interests in airship. But these make little progress even now. In flighttest, the data acquisition from the actual flight test has lots of difficulties becausethe airship dynamic response is slow and sensitive to extemal environment. In thispaper, through the actual flight test, appropriateness of the mathematical dynamicmodel was presented by showing the test results in various conditions. Thetuming, the acceleration, and the deceleration motions were tested and analyzed.

TIME-DOMAIN TECHNIQUE FOR FRONT-END NOISE SIMULATION IN NUCLEAR SPECTROSCOPY

  • Neamintara, Hudsaleark;Mangclaviraj, Virul;Punnachaiya, Suvit
    • Nuclear Engineering and Technology
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    • v.39 no.6
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    • pp.717-724
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    • 2007
  • A measurement-based time-domain noise simulation of radiation detector-preamplifier (front-end) noise in nuclear spectroscopy is described. The time-domain noise simulation was performed by generating "noise random numbers" using Monte Carlo's inverse method. The probability of unpredictable noise was derived from the empirical cumulative distribution function via the sampled noise, which was measured from a preamplifier output. Results of the simulated noise were investigated as functions of time, frequency, and statistical domains. Noise behavior was evaluated using the signal wave-shaping function, and was compared with the actual noise. Similarities between the response characteristics of the simulated and the actual preamplifier output noises were found. The simulated noise and the computed nuclear pulse signal were also combined to generate a simulated preamplifier output signal. Such simulated output signals could be used in nuclear spectroscopy to determine energy resolution degradation from front-end noise effect.

A Study on Coagulant Feeding Control of the Water Treatment Plant Using Intelligent Algorithms (지능알고리즘에 의한 정수장 약품주입제어에 관한 연구)

  • 김용열;강이석
    • Journal of Institute of Control, Robotics and Systems
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    • v.9 no.1
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    • pp.57-62
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    • 2003
  • It is difficult to determine the feeding rate of coagulant in the water treatment plant, due to nonlinearity, multivariables and slow response characteristics etc. To deal with this difficulty, the genetic-fuzzy system genetic-equation system and the neural network system were used in determining the feeding rate of the coagulant. Fuzzy system and neural network system are excellently robust in multivariables and nonlinear problems. but fuzzy system is difficult to construct the fuzzy parameter such as the rule table and the membership function. Therefore we made the genetic-fuzzy system by the fusion of genetic algorithms and fuzzy system, and also made the feeding rate equation by genetic algorithms. To train fuzzy system, equation parameter and neural network system, the actual operation data of the water treatment plant was used. We determined optimized feeding rates of coagulant by the fuzzy system, the equation and the neural network and also compared them with the feeding rates of the actual operation data.