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DDE-based PI Controller and its Application to Gasifier Temperature Control
Ya-li Xue,Dong-hai Li,Jing-gong Liu 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
Based on desired dynamic equation (DDE), a kind of PI controller tuning method is discussed in this paper. Using Nyquist stability criterion, the stable region of controller tunable parameter is calculated and compared with traditional PI controller, and then the necessity of introducing a scaling factor L is explained for better control performance. The DDE-based PI tuning method is applied to a gasifier temperature control. The simulation results show its feasibility with lower tuning efforts and better performance.
IGCC 가스화기 피드포워드 방식의 열부하 자동제어 로직 개발에 관한 연구
유정현,방기철,조현우,손영득 사단법인 한국융합기술연구학회 2022 아시아태평양융합연구교류논문지 Vol.8 No.12
Heat duty of the gasifier is controlled by the ratio of pure oxygen and pulverized coal(O2/Coal ratio). The existing heat duty controller is a feedback control system, and the PID(Proportional Integral Derivation) controller calculates the heat duty error to adjust the ratio of pure oxygen and pulverized coal(O2/Coal ratio). The existing heat duty controller is stable when the error is small, but high transient response may occur if the error increases due to changes in fuel composition and system disturbance. The control method used in this paper is the ratio of pure oxygen and pulverized coal(O2/Coal ratio) determined in the target setting table is used as a preceding signal of feedforward system, and the heat duty error is added to the correction signal in the PID controller. The heat duty error was regarded as disturbance, and the feedforward system, feedback control system, and operation screen applied with appropriate parameters were implemented through the simulation. Finally, the usefulness was verified through the feedforward automatic control logic simulation experiment. 가스화기 열부하는 순산소와 미분탄의 비율(O2/Coal ratio)로 조절한다. 기존 열부하 제어기는 피드백 제어기이고, 열부하 오차를 PID 제어기에서 연산하여 순산소와 미분탄의 비율(O2/Coal ratio)을 조절한다. 기존의 방법은 열부하 제어기 오차가 작으면 안정하지만, 연료 성상 변화, 시스템 외란 등으로 오차가 증가하면 과도응답이 발생할 수 있다. 본 논문에서 제안하는 방법은 기동 곡선에서 정해진 순산소와 미분탄의 비율 (O2/Coal ratio)을 피드포워드 선행 신호로 사용하고, 열부하 오차는 PID 제어기에서 보정 신호로 합산하는 제어방법이다. 열부하 오차를 외란으로 간주하고 시뮬레이션을 통해 적절한 파라미터를 적용한 피드포워드와 피드백 제어시스템 및 운전 화면을 구현하였다. 마지막으로 피드포워드 방식의 열부하 자동제어 로직 시뮬레이션 실험을 통해 유용성을 검증하였다.
석탄 가스화 복합 발전 플랜트의 분류층 가스화기 제어를 위한 선형 모델 예측 제어 기법
이효진 ( Hyo Jin Lee ),이재형 ( Jay H. Lee ) 한국화학공학회 2014 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.52 No.5
In the Integrated Gasification Combined Cycle (IGCC), the stability of the gasifier has strong influences onthe rest of the plant as it supplies the feed to the rest of the power generation system. In order to ensure a safe and stableoperation of the entrained-flow gasifier and for protection of the gasifier wall from the high internal temperature, thesolid slag layer thickness should be regulated tightly but its control is hampered by the lack of on-line measurement forit. In this study, a previously published dynamic simulation model of a Shell-type gasifier is reproduced and two differentlinear model predictive control strategies are simulated and compared for multivariable control of the entrained-flowgasifier. The first approach is to control a measured secondary variable as a surrogate to the unmeasured slag thickness. The control results of this approach depended strongly on the unmeasured disturbance type. In other words, the slagthickness could not be controlled tightly for a certain type of unmeasured disturbance. The second approach is to estimatethe unmeasured slag thickness through the Kalman filter and to use the estimate to predict and control the slagthickness directly. Using the second approach, the slag thickness could be controlled well regardless of the type ofunmeasured disturbances.
A Study on Applying PID Control to a Downdraft Fixed Bed Gasifier using Wood Pellets
( Bu-gae Park ),( Seong-mi Park ),( Sung-jun Park ) 한국산업융합학회 2022 한국산업융합학회 논문집 Vol.25 No.2
Biomass is material that is comprehensive of carbonaceous materials from plants, crops, animals, and algae. It has been used as one of heating fuel since the beginning the emergence of human beings. Since biomass is regarded as carbon-neutral energy source, it has recently been attracting attention as an energy source that can replace fossil fuels. The most widely applied field is distributed power generation, and a method of generating electric power by driving an internal combustion engine with syngas produced by gasifier is chosen. While the composition of the syngas produced in gasifiers changes depending on the air flowing into the reactor, commercialized gasifiers so far do not control the air flowing into the reactor. When the inner pressure in reactor increases, the air sucked into the reactor is reduced. That change of amount of air makes the composition of syngas varied. Those variations of composition of syngas cause the incomplete combustion hence the power output of engine drops, which is a critical weakness of the gasification technology. In this paper, to produce the uniformly composed syngas, PID control is applied. The result was shown when the amount of air into the reactor is supplied with the constant amount using PID control, the standard deviation of caloric values of syngas is around 2[%] of its average value. Meanwhile the gasifier without PID control has the standard deviation of caloric values is around 7[%]. Therefore, Adopting PID control to supply constant air to the gasifier is highly desirable.
Probability-based Robust Optimal PI Control for Shell Gasifier in IGCC Power Plants
Li Sun,Donghai Li,Junyi Dong,Makeximu 제어로봇시스템학회 2013 제어로봇시스템학회 국제학술대회 논문집 Vol.2013 No.10
In order to achieve a robust control performance of the gasifier which has dynamic characteristics of multi-variable coupling, large inertia and multi-disturbance, an optimization method for decentralized PID/PI controller parameters based on probabilistic robustness is developed. First, the control structure and target of the Shell gasifier is analyzed and a crude model is introduced. Model uncertainties and other detailed industrial requirements could be considered at the same time in the method. The probability of satisfaction with the dynamic performance is computed statistically, and then it is presented as the objective function to optimize the controller parameters based on genetic algorithm. The Monte Carlo experiment was applied to test the robustness of the control system. In comparison with the tuning methods based on internal model control (IMC) and the optimization algorithm under the nominal model, simulation results show the method could exploit the potentialities of PID/PI controllers in a maximal probability.
IGCC 가스화기 산소 공급 압력 안정화를 위한 ASU 공정 제어 방식 개선에 관한 연구
방기철,유정현,조현우,손영득 사단법인 한국융합기술연구학회 2023 아시아태평양융합연구교류논문지 Vol.9 No.8
IGCC (Integrated Gasification Combined Cycle) is an environmentally friendly and highly efficient energy source; however, it has high construction and maintenance costs, as well as operational complexity, leading to lower reliability. Since its completion in 2016, IGCC has improved its utilization rate to around 78% through efforts to stabilize its facilities. However, in order to achieve the target utilization rate of 85% set for IGCC, it is necessary to eliminate potential failure factors and minimize sudden shutdowns of the power plant. Currently, the potential issue with IGCC lies in the instability of gasifier load tracking, which is caused by the unstable oxygen supply pressure in ASU(Air Separation Unit), and it can lead to combustion instability, refractory material damage, and shortened equipment lifespan. Therefore, in order to address these problems, the causes of pressure instability and the drawbacks of existing control methods have been analyzed, and improvement measures have been proposed. These measures have been applied to the actual control system to validate their stabilization effects. IGCC(석탄가스화 복합발전)은 친환경, 고효율 에너지이지만, 건설비 및 유지비가 높고 설비 복잡성으로 인해 운영 신뢰도가 낮다. 국내 IGCC는 2016년 준공 이후 설비 안정화 노력을 통해 이용률을 78% 수준까지 향상시켰으나, IGCC가 목표로 하는 85% 이용률을 달성하기 위해서는 잠재적 고장요인을 제거하여, 돌발고장을 최소화해야 한다. 현재 IGCC의 잠재적 문제점은 가스화기 부하 추종 불안정이다. 이는 ASU(공기 분리 장치) 산소 공급 압력 불안정에 의해 발생되고 있으며, 연소 불안정, 내화재 손상, 기계 수명 단축 등을 유발할 수 있다. 따라서 이러한 문제를 해결하기 위해, 압력 불안정 원인과 기존 제어방식의 문제점을 분석하고, 개선방안을 제시하였으며, 실제 제어시스템에 적용하여 안정화 효과를 검증하였다.