Research on Control Strategy of Integrated Gasification Humid Air Turbine Cycle

2018 ◽  
Vol 140 (11) ◽  
Author(s):  
Tingting Wei ◽  
Dengji Zhou ◽  
Di Huang ◽  
Shixi Ma ◽  
Wang Xiao ◽  
...  
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Design Method ◽  
Control Mode ◽  
Humid Air ◽  
Loop Control ◽  
System A ◽  
Air Turbine ◽  
Integrated Gasification ◽  
Strategy Design

Integrated gasification humid air turbine (IGHAT) cycle is an advanced power generation system, combining gasification technology and humid air turbine (HAT) cycle. It draws great attention in the energy field considering its high specific power, high efficiency, and low emission. There are only a few HAT cycle plants and IGHAT cycle is still on the theory research stage. Therefore, the study on control strategies of IGHAT cycle has great significance in the future development of this system. A design method of control strategy is proposed for the unknown gas turbine systems. The control strategy design is summarized after IGHAT control strategy and logic is designed based on the dynamic simulation results and the operation experience of gas turbine power station preliminarily. Then, control logic is configured and a virtual control system of IGHAT cycle is established on the Ovation distribution control platform. The model-in-loop control platform is eventually set up based on the interaction between the simulation model and the control system. A case study is implemented on this model-in-loop control platform to demonstrate its feasibility in the practical industry control system. The simulation of the fuel switching control mode and the power control mode is analyzed. The power in IGHAT cycle is increased by 24.12% and 32.47%, respectively, compared to the ones in the simple cycle and the regenerative cycle. And the efficiency of IGHAT cycle is 1.699% higher than that of the regenerative cycle. Low component efficiency caused by off-design performance and low humidity caused by high pressure are the main limits for system performance. The results of case study show the feasibility of the control strategy design method proposed in this paper.

Research on Control Strategy of Integrated Gasification Humid Air Turbine Cycle

2017 ◽  
Author(s):  
Tingting Wei ◽  
Dengji Zhou ◽  
Di Huang ◽  
Shixi Ma ◽  
Huisheng Zhang ◽  
...  
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Design Method ◽  
Control Mode ◽  
Humid Air ◽  
Loop Control ◽  
System A ◽  
Air Turbine ◽  
Integrated Gasification ◽  
Strategy Design

Integrated Gasification Humid Air Turbine (IGHAT) cycle is an advanced power generation system, combining gasification technology and Humid Air Turbine (HAT) cycle. It draws great attention in the energy field considering its high specific power, high efficiency and low emission. There are only a few H AT cycle plants and IGHAT cycle is still on the theory research stage. Therefore, the study on control strategies of IGHAT cycle has great significance in the future development of this system. A design method of control strategy is proposed for the unknown gas turbine systems. The control strategy design is summarized after IGHAT control strategy and logic is designed based on the dynamic simulation results and the operation experience of gas turbine power station preliminarily. Then, control logic is configured and a virtual control system of IGHAT cycle is established on the Ovation distribution control platform. The model-in-loop control platform is eventually set up based on the interaction between the simulation model and the control system. A case study is implemented on this model-in-loop control platform to demonstrate its feasibility in the practical industry control system. The simulation of the fuel switching control mode and the power control mode is analyzed. The power in IGHAT cycle is increased by 24.12% and 32.47% respectively, compared to the ones in the simple cycle and the regenerative cycle. And the efficiency of IGHAT cycle is 1.699% higher than that of the regenerative cycle. Low component efficiency caused by off-design performance and low humidity caused by high pressure are the main limits for system performance. The results of case study show the feasibility of the control strategy design method proposed in this paper.

A Design Method of TDOF Controller for Sampled-Data Control System: A Method Using Dynamical Model of Feedback Controller

1999 ◽  
Author(s):  
Mitsuo Hirata ◽  
Akiyo Murase ◽  
Takenori Atsumi ◽  
Kenzo Nonami
Keyword(s):  
Control System ◽  
Design Method ◽  
Feedback Controller ◽  
Dynamical Model ◽  
Sampled Data ◽  
System A ◽  
Data Control ◽  
Sampled Data Control ◽  
Model Transfer ◽  
Two Degree Of Freedom

Abstract It has been proposed the design method of the two-degree-of-freedom (TDOF) controller which use the dynamical model of the feedback controller. In this study, we apply this design method to the sampled-data control system. The TDOF controller is obtained so that the output of the TDOF system follows the output of the model transfer function considering the intersample behaviors.

Intelligent Operation Control for the Fused Magnesia Production

2011 ◽  
Vol 391-392 ◽  
pp. 1450-1454
Author(s):  
Yong Jian Wu ◽  
Ping Zhou ◽  
Pin Shang ◽  
Tian You Chai
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Control Strategy ◽  
Control Method ◽  
Level Control ◽  
Loop Control ◽  
Intelligent Control System ◽  
Technical Requirements ◽  
Operation Control ◽  
Lower Loop

An electro-fused magnesia furnace (EFMF) is used to produce electro-fused magnesia. Due to the complex dynamic characteristics of the EFMF production process, it is difficult to achieve the satisfactory control performances only by the independent conventional control method. As a result, the lower loop control with manual operations is still widely used in practice. However, the manual operation cannot ensure that the actual production qualities and the energy consumption of unit production meet the technical requirements all the time. In this paper, an intelligent operation control strategy is developed for the EFMF to automatically adjust the setpoints of the lower level control system. Based on the proposed intelligent control strategy, an intelligent control system for the EFMF is built and implemented on site. Industrial application has demonstrated that the intelligent control system can achieve reliable, accurate and timely control performances.

Design of Speed Closed-Loop Control With Variable Pressure Difference Valve for Aero Engine

2020 ◽  
Author(s):  
Zhen Jiang ◽  
Xi Wang ◽  
Huairong Chen ◽  
Yunlai Wang
Keyword(s):  
Control System ◽  
Pressure Difference ◽  
Closed Loop ◽  
Model Simulation ◽  
Design Method ◽  
Strong Stability ◽  
Development Trend ◽  
Variable Pressure ◽  
Closed Loop Control ◽  
Loop Control

Abstract Focusing on the advantages of simple structure, quick response and good static performance when fuel system using variable pressure difference valve (VPDV) and the development trend to full authority digital engine control (FADEC) of modern engine, this paper aims to propose a design method of digital speed closed-loop control system based on fuel metering unit (FMU) using VPDV. Firstly, the working principle of a real engine with VPDV is introduced, and the nonlinear AMESim model of the system is established. Secondly, the static analysis of VPDV and metering valve is carried out, and the principle of speed closed-loop control of the hydraulic mechanical system is revealed. Therefore, we built the structure of digital speed control circuit with VPDV. Thirdly, a PI controller is designed for the model augmented by the engine and VPDV, and the parameters of the controller are optimized by the differential evolution (DE) algorithm. Moreover, the controller of gain scheduling is applied to the engine nonlinear model simulation platform. Simulation results illustrated that the designed digital speed closed-loop control can realize the function of speed regulation, and has the advantages of good servo performance and strong stability in comparison with the original hydraulic mechanical control system.

A Simulation Research of Artificial Intelligence Control

2012 ◽  
Vol 214 ◽  
pp. 640-643
Author(s):  
Xin Xiong ◽  
Chao Dong Lu
Keyword(s):  
Artificial Intelligence ◽  
Control System ◽  
Control Method ◽  
Control Mode ◽  
Simulation Research ◽  
Loop Control ◽  
Complex Control ◽  
Intelligence Control ◽  
And Control ◽  
Specific Control

The traditional control system can not meet the more complex control tasks of the problem, using artificial intelligence control method of imitation, artificial intelligence control system on the overall structure of the design, and given the specific control algorithms. System relies on accurately identify the various features of the error and make the appropriate decisions to multiplexing, open, closed loop control mode of combining control and solve the complex control of the process of identification, decision-making and control problems and achieve A unified identification control.

Decentralized Engine Control System Simulator

2013 ◽  
Author(s):  
John McArthur ◽  
Travis Boehm ◽  
Bobbie Hegwood ◽  
Oran Watts
Keyword(s):  
Control System ◽  
Design Method ◽  
System Development ◽  
Engine Control ◽  
Hardware In The Loop ◽  
Design Development ◽  
System Architectures ◽  
Loop Control ◽  
Communication Architecture ◽  
Engine Control System

LibertyWorks™ (Rolls-Royce North American Technologies Inc.) is developing an integrated environment for design, development, testing, and integration of current and future decentralized gas turbine engine control systems. This paper serves as a mid-project status update to solicit recommendations from industry and academia on what might be done to make it better, and to give the community a preview. Identified as the Decentralized Engine Control System Simulator (DECSS), this system has the capabilities to support flexible, decentralized control system architectures containing both simulated and physical hardware-in-the-loop control components. Neither the DECSS nor the project developing the DECSS will make a selection of a preferred control system architecture/design method, nor a preferred communication architecture/protocol, but instead will provide a flexible environment for future users to rapidly evaluate potential solutions in a real-time environment with hardware in the loop. This paper describes the DECSS functions, capabilities, organization and how it will be used as a NASA asset for future engine control system development.

Control System Design of Rotary Inverted Pendulum

2014 ◽  
Vol 608-609 ◽  
pp. 766-769
Author(s):  
Li Qian Wang ◽  
Kai Hu
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Inverted Pendulum ◽  
Controller Design ◽  
Single Stage ◽  
Test Results ◽  
Final Test ◽  
Loop Control ◽  
Classical Control ◽  
Rotary Inverted Pendulum

In this paper we study the control system of single stage rotary inverted pendulum, and put forwards the controller design based on the core of STM32. In control strategy we use the classical control theory-PID control algorithm, which realizes the closed-loop control of rotating arm and swing rod for the single stage rotary inverted pendulum. The final test results show that the control strategy is effective.

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