• Title/Summary/Keyword: state-feedback control

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Simulation of Fuzzy Logic Controller for Food Extrusion Process (압출성형공정 퍼지제어기의 모의실험)

  • Lee, Seung-Ju;Won, Chee-Sun;Han, Ouk;Mok, Chul-Kyoon;Lee, Byeong-Sang
    • Korean Journal of Food Science and Technology
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    • v.27 no.2
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    • pp.164-169
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    • 1995
  • Fictitious experiment to control extrusion process was carried out using the fuzzy theory. Algorithm of the fuzzy logic controller(FLC) was made based on the general principles of extrusion. In the simulation, at first, thickness of extrudate was measured as feedback input variable. Secondly, a set point of screw speed was determined as output variable of extruder operating condition through FLC. Finally, the thickness of extrudate was controlled as a given set point. Barrel heater was simply controlled as on/off state, which was not fuzzy controlled.

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Inverse Kinematic Analysis of a Three Dimensional Binary Robot Manipulator (3차원 2진 로봇 머니퓰레이터의 역기구학적 해석)

  • Ryu, Gil-Ha;Rhee, Ihn-Seok
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.4 s.97
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    • pp.205-212
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    • 1999
  • A three dimensional binary parallel robot manipulator uses actuators which have only two stable states and its structure is variable geometry truss. As a result, it has a finite number of states and fault tolerant mechanism because of kinematic redundancy. This kind of robot manipulator has some advantages compared to a traditional one. Feedback control is not required, task repeatability can be very high, and finite state actuators are generally inexpensive. Because the number of states of a binary robot manipulator grows exponentially with the number of actuators it is very difficult to solve and inverse kinematic problem. The goal of this paper is to develop an efficient algorithm to solve an inverse kinematic problem of three dimensional binary parallel robot manipulator using a backbone curve when the number of actuators are too much. We first derive the coordinate transformations associated with a three degree of freedom in-parallel actuated robot manipulator. The backbone curve is generated optimally by considering the maximum roll and pitch angles of the robot manipulator configuration and length of link. Then, the robot manipulator is fitted along the backbone curve with some criterion.

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Instantaneous Reactive Power Compensator using Current Controlled PWM Converter (전류제어형 PWM 컨버터에 의한 순시 무효전력 보상장치)

  • 최재호;김상훈;박민호
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.38 no.7
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    • pp.539-548
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    • 1989
  • This paper describes an instantaneous reactive power compensator aimed at the compensation of reactive power and current harmonics of a thyristor load. A new definition of the instantaneous reactive power consisting of both displacement of fundamental current and harmonic distortion current is proposed and the physical meaning is investigated from the viewpoint of an instantaneous power flow. The instantaneous reactive power is calculated from the feedback of instantaneous voltage, current and is compensated by the current controlled PWM converter connected in parallel with the load. The PWM converter operates as a high performance current control scheme, because adopts the excellent current controlled PWM technique based on the current deviation vector. Both simulation and experimental results show good compensating performances in steady and transient state.

Structural damage detection using decentralized controller design method

  • Chen, Bilei;Nagarajaiah, Satish
    • Smart Structures and Systems
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    • v.4 no.6
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    • pp.779-794
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    • 2008
  • Observer-based fault detection and isolation (FDI) filter design method is a model-based method. By carefully choosing the observer gain, the residual outputs can be projected onto different independent subspaces. Each subspace corresponds to the monitored structural element so that the projected residual will be nonzero when the associated structural element is damaged and zero when there is no damage. The key point of detection filter design is how to find an appropriate observer gain. This problem can be interpreted in a geometric framework and is found to be equivalent to the problem of finding a decentralized static output feedback gain. But, it is still a challenging task to find the decentralized controller by either analytical or numerical methods because its solution set is, generally, non-convex. In this paper, the concept of detection filter and iterative LMI technique for decentralized controller design are combined to develop an algorithm to compute the observer gain. It can be used to monitor structural element state: healthy or damaged. The simulation results show that the developed method can successfully identify structural damages.

Enhanced Dynamic Response of SRF-PLL System for High Dynamic Performance during Voltage Disturbance

  • Choi, Hyeong-Jin;Song, Seung-Ho;Jeong, Seung-Gi;Choi, Ju-Yeop;Choy, Ick
    • Journal of Power Electronics
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    • v.11 no.3
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    • pp.369-374
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    • 2011
  • Usually, a LPF (low pass filter) is used in the feedback loop of a SRF (synchronous reference frame) - PLL (phase locked loop) system because the measured grid voltage contains harmonic distortions and sensor noises. In this paper, it is shown that the cut-off frequency of the LPF should be designed to suppress the harmonic ripples contained in the measured voltage. Also, a new design method for the loop gain of the PI-type controller in the SRF-PLL is proposed with consideration of the dynamics of the LPF. As a result, a better transient response can be obtained with the proposed design method. The LPF frequency and the PI controller gain are designed in coordination according to the steady state and dynamic performance requirements. Furthermore, in the proposed method, the controller gain and the LPF cut-off frequency are changed from their normal value to a transient value when a voltage disturbance is detected. This paper shows the feasibility and usefulness of the proposed methods through the computer simulations and experimental results.

A Study on the Inverse kinematic Analysis of a Binary Robot Manipulator using Backbone Curve (등뼈 곡선을 이용한 2진 로봇 머니퓰레이터의 역기구학적 해석)

  • Ryu, Gil-Ha;Lee, Ihn-Seok
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.3 s.96
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    • pp.174-179
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    • 1999
  • A binary parallel robot manipulator uses actuators which have only two stable states and is structure is variable geometry truss. As a result, it has a finite number of states and fault tolerant mechanism because of kinematic redundancy. This kind of robot manipulator has the following advantages compared to a traditional one. Feedback control is not required, task repeatability can be very high, and finite state actuators are generally inexpensive. Because the number of states of a binary robot manipulator grows exponentially with the number of actuators, it is very difficult to solve an inverse kinematic problem. The goal of this paper is to develop an efficient algorithm to solve an inverse kinematic problem when the number of actuators are too much or the target position is located outside of workspace. The backbone curve is generated optimally by considering the curvature of the robot manipulator configuration and length of link. Then, the robot manipulator is fitted along the backbone curve with some criteria.

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Flame Diagnosis Using Neuro-Fuzzy Learning Algorithm (뉴로퍼지학습 알고리듬을 이용한 연소상태진단)

  • Lee, Tae-Yeong;Kim, Seong-Hwan;Lee, Sang-Ryong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.26 no.4
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    • pp.587-595
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    • 2002
  • Recent trend changes a criterion for evaluation of humors that environmental problems are raised as a global issue. Burners with higher thermal efficiency and lower oxygen in the exhaust gas, evaluated better. To comply with environmental regulations, burners must satisfy the NO/sub x/ and CO regulation. Consequently, 'good burner'means one whose thermal efficiency is high under the constraint of NO/sub x/ and CO consistency. To make existing burner satisfy recent criterion, it is highly recommended to develop a feedback control scheme whose output is the consistency of NO/sub x/ and CO. This paper describes the development of a real time flame diagnosis technique that evaluate and diagnose the combustion states, such as consistency of components in exhaust gas, stability of flame in the quantitative sense. In this paper, it was proposed on the flame diagnosis technique of burner using Neuro-Fuzzy algorithm. This study focuses on the relation of the color of the flame and the state of combustion. Neuro-Fuzzy loaming algorithm is used in obtaining the fuzzy membership function and rules. Using the constructed inference algorithm, the amount of NO/sub x/ and CO of the combustion gas was successfully inferred.

Verification of OpenMC for fast reactor physics analysis with China experimental fast reactor start-up tests

  • Guo, Hui;Huo, Xingkai;Feng, Kuaiyuan;Gu, Hanyang
    • Nuclear Engineering and Technology
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    • v.54 no.10
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    • pp.3897-3908
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    • 2022
  • High-fidelity nuclear data libraries and neutronics simulation tools are essential for the development of fast reactors. The IAEA coordinated research project on "Neutronics Benchmark of CEFR Start-Up Tests" offers valuable data for the qualification of nuclear data libraries and neutronics codes. This paper focuses on the verification and validation of the CEFR start-up modelling using OpenMC Monte-Carlo code against the experimental measurements. The OpenMC simulation results agree well with the measurements in criticality, control rod worth, sodium void reactivity, temperature reactivity, subassembly swap reactivity, and reaction distribution. In feedback coefficient evaluations, an additional state method shows high consistency with lower uncertainty. Among 122 relative errors in the benchmark of the distribution of nuclear reaction, 104 errors are less than 10% and 84 errors are less than 5%. The results demonstrate the high reliability of OpenMC for its application in fast reactor simulations. In the companion paper, the influence of cross-section libraries is investigated using neutronics modelling in this paper.

Development and application of the helically coiled once-through steam generator module for dynamic simulation of nuclear hybrid energy system

  • Keon Yeop Kim;Young Suk Bang
    • Nuclear Engineering and Technology
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    • v.56 no.8
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    • pp.3315-3329
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    • 2024
  • Small Modular Reactors (SMRs) adopt the Helically Coiled Once-Through Steam Generators (OTSG) extensively for its compactness and higher heat transfer efficiency. As a heat exchanger between the primary side (reactor coolant system) and the secondary side (feedwater and steam system) of nuclear steam supply system, the inlet/outlet conditions both of shell side and tube side of OTSGs have significant impacts on overall system response. Considering the flexible operation of SMRs and heat application by extracting steam, a simulation tool for accurate prediction of the OTSG dynamic behaviors would be required for optimizing design and control. In this study, the OTSG dynamic simulation model has been developed. Mathematical governing equation has been derived by using moving boundary approach and a simulation module has been developed by using Modelica Language. The developed module has been compared with publicly available experimental results and benchmarked with MARS-KS calculation results. Also, it has been incorporated into the integrated SMR model (i.e., reactor core, primary side, secondary side) and dynamic behaviors with reactivity feedback and heat balancing have been investigated. In both of steady-state and transient conditions, it shows the promising accuracy.

Parameter Estimation and Control for Apparatus of Container Crane;An Experimental Approach (모형 컨테이너 크레인의 파라미터 추정 및 제어;실험적 접근)

  • Lee, Yun-Hyung;Jin, Gang-Gyoo;So, Myung-Ok
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2007.12a
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    • pp.304-306
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    • 2007
  • In this paper, we presents a scheme for the parameter estimation and optimal control scheme for apparatus of container crane system. For parameter estimation, first, we construct the open loop of the container crane system and estimate its parameters based on input-output data, a real-coded genetic algorithm(RCGA) and the model adjustment technique. The RCGA plays an important role in parameter estimation as an adaptive mechanism. For controller design, state feedback gain matrix is searched by another RCGA and the estimated model. The performance of the proposed methods are demonstrated through a set of simulation and experiments of the experimental apparatus.

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