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성은희 ( E H Sung ),김다위 ( D Kim ),박두환 ( D H Park ),박관순 ( K S Park ),박장호 ( J H Park ),조해진 ( H J Cho ) 한국안전학회(구 한국산업안전학회) 2014 한국안전학회지 Vol.29 No.2
For the vibration control of residential buildings, a multiple type slim damper system is developed and dynamic performance test is performed in this study. In conventional damping systems, larger installation space is required in order to achieve acceptable seismic performance, and as a result, it is difficult to determine efficient damping capacity of the device. The proposed damping device is composed of several small slim type dampers and linkage units. It can control damping capacity easily by changing the number of the small damper. To evaluate the proposed damping device, three slim type dampers (single-type, triple-type and penta-type) are designed and manufactured in real scale. Dynamic loading tests are performed by using the three manufactured dampers. From the tests, it is shown that damping coefficient is proportional to the number of the damper combined. Thus, test results validates the practicality of the proposed slim type dampers. applying nonlinear curve fitting technique, numerical model of the dampers are developed and presented.
RVEGA를 이용한 온도 제어 시스템의 최적 퍼지제어기 설계에 관한 연구
김정수,박두환,지석준,이준탁 동아대학교 생산기술연구소 2001 生産技術硏究所硏究論文集 Vol.6 No.2
In general, the thermal control system has nonlinearity and the time delay, futhermore, it is difficult to design the free size controller, because the external environmental disturbances, such as rapid temperature change. Many researchers in this field are preferring to adapt the fuzzy logic controls, but it is noted that the actuator identification of M.F.'s used in FLC is very difficult. Therefore in this paper, an implementation technique of thermal control system using RVEGA based optimal fuzzy control was proposed. It's superiority and exaction in controller design processes hardware in implementation were proved through a series of simulations and experimentations.
Attitude Control of Helicopter Simulator Using Neural Network Based PID Controller
Lee, J. T.,Park, D. H. 동아대학교 생산기술연구소 1999 生産技術硏究所硏究論文集 Vol.4 No.1
In this paper, a neural network based PID technique for attitude control of helicopter simulator with dynamic nonlineanties is introduced. For the purpose of this paper, at first, we derived a dynamic torque equation of a given simulator from the Lagrangian Equation and the force balance equation. Then the neural network based PID(NNPID) controller was designed on the MATLAB simulink in order to control fastly and accurately in desired elevation angle and azimuth one. The PID gains are automatically adjusted by the error back propagation learning algorithm of a simple structured neural network. Simulation results were desirable.