scholarly journals Gas Turbine Performance Digital Twin for Real-Time Embedded Systems

2020 ◽  
Author(s):  
V. Panov ◽  
S. Cruz-Manzo
Keyword(s):  
Control System ◽  
Real Time ◽  
Gas Turbine ◽  
Distributed Control ◽  
Gas Turbines ◽  
Distributed Control System ◽  
Remote Monitoring System ◽  
Digital Twin ◽  
Turbine Performance ◽  
Automation Systems

Abstract This contribution reports on the development of Performance Digital Twin for industrial Small Gas Turbines. The objective of this study was the development of automation systems with control and monitoring functionalities, capable of addressing the requirements of future gas turbine plants for increased availability and reliability by use of Digital Twin technology. The project explored development of Performance Digital Twin based on Real-Time Embedded computing, which can be leveraged with Internet-of-Things (IOT) Cloud Platforms. The proposed solution was provided in a form of modular software for a range of hardware platforms, with corresponding functionalities to support advanced control, monitoring, tracking and diagnostics strategies. The developed Digital Twin was designed to be used in offline mode to assist the software commissioning process and in on-line mode to enable early detection of degradation and fault modes typical for gas path components. The Performance Digital Twin is based on a dynamic gas turbine model which was augmented with a Kalman tuner to enable performance tracking of physical assets. To support heterogeneity of gas turbine Distributed Control Systems (DCS), this project explored deployment of Digital Twin on multiple platforms. In the paper, we discuss model-based design techniques and tools specific for continuous, discrete and hybrid systems. The hybrid solution was deployed on PC-based platform and integrated with engine Distributed Control System in the field. Monitoring of gas turbine Performance Digital Twin functionalities has been established via Remote Monitoring System (STA-RMS). Assessment of deployed solution has been carried out and we present results from the field trial in this paper. The discrete solution was deployed on a range of Programable Logical Controller (PLC) platforms and has been tested by integrating Digital Twin in virtual engine Distributed Control System network. The Performance Digital Twin was embedded in Single Master PLC and Master-Slave PLC configurations, and we present results from the system testing using virtual gas turbine assets. The IoT Platform MindSphere was integrated within virtual engine network, and in this contribution, we explore expansion of the developed system with Cloud based applications and services.

INTELLECTUALIZATION OF MECHATRONIC MODULES

2020 ◽  
pp. 56-62
Author(s):  
V.A. Kokovin
Keyword(s):  
Control System ◽  
Real Time ◽  
Distributed Control ◽  
Functional Network ◽  
Distributed Control System ◽  
Industrial Automation ◽  
Iec 61499 ◽  
Network Component

The paper discusses the interaction of mechatronic devices in real time through events and messages. The approach to the development of a distributed control system for mechatronic devices based on the IEC 61499 standard is analyzed. The analysis of the use of IoT, IoRT in industrial automation is given, the advantages and features of using these network components are considered. The concept of a Functional Network Component and the requirements for it are given.

scholarly journals On-Board Condition Management for Aircraft Gas Turbines

1992 ◽  
Author(s):  
G. W. Gallops ◽  
F. D. Gass ◽  
M. H. Kennedy
Keyword(s):  
Control System ◽  
Gas Turbine ◽  
Condition Monitoring ◽  
System Architecture ◽  
Gas Turbines ◽  
Performance Model ◽  
Performance Models ◽  
Turbine Performance ◽  
Secondary Air ◽  
System Operating

A revolutionary approach to gas turbine condition monitoring is made possible by the recent development of accurate real-time gas turbine performance models. This paper describes an approach for an integrated condition management system operating concurrently with the gas turbine control system for improved availability, safety and economy. This paper considers the system subject to the requirements and constraints of aircraft gas turbines. A system architecture is described based on a primary, gas path performance model with supplementary models representing the secondary air, fuel and lubrication systems and the rotor system dynamics. Measurement and processing requirements for the system are defined. Preflight, in-flight and postflight application and analysis by the gas turbine operator are discussed.

Fuzzy-Neural Petri Net Distributed Control System Using Hybrid Wireless Sensor Network and CAN Fieldbus

2016 ◽  
Vol 12 (1) ◽  
pp. 54-70
Author(s):  
Ali Abed ◽  
Abduladhem Ali ◽  
Nauman Aslam ◽  
Ali Marhoon
Keyword(s):  
Control System ◽  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Distributed Control ◽  
Petri Net ◽  
Wireless Sensor ◽  
Distributed Control System ◽  
Sensor Actuator ◽  
Fuzzy Neural

The reluctance of industry to allow wireless paths to be incorporated in process control loops has limited the potential applications and benefits of wireless systems. The challenge is to maintain the performance of a control loop, which is degraded by slow data rates and delays in a wireless path. To overcome these challenges, this paper presents an application–level design for a wireless sensor/actuator network (WSAN) based on the “automated architecture”. The resulting WSAN system is used in the developing of a wireless distributed control system (WDCS). The implementation of our wireless system involves the building of a wireless sensor network (WSN) for data acquisition and controller area network (CAN) protocol fieldbus system for plant actuation. The sensor/actuator system is controlled by an intelligent digital control algorithm that involves a controller developed with velocity PID-like Fuzzy Neural Petri Net (FNPN) system. This control system satisfies two important real-time requirements: bumpless transfer and anti-windup, which are needed when manual/auto operating aspect is adopted in the system. The intelligent controller is learned by a learning algorithm based on back-propagation. The concept of petri net is used in the development of FNN to get a correlation between the error at the input of the controller and the number of rules of the fuzzy-neural controller leading to a reduction in the number of active rules. The resultant controller is called robust fuzzy neural petri net (RFNPN) controller which is created as a software model developed with MATLAB. The developed concepts were evaluated through simulations as well validated by real-time experiments that used a plant system with a water bath to satisfy a temperature control. The effect of disturbance is also studied to prove the system's robustness.

scholarly journals Research on Safe Communication Architecture for Real-Time Ethernet Distributed Control System

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 89821-89832
Author(s):  
Zhengyu Huang ◽  
Xianliang Jiang ◽  
Lingyu Chen ◽  
Dapeng Fan
Keyword(s):  
Control System ◽  
Real Time ◽  
Distributed Control ◽  
Distributed Control System ◽  
Communication Architecture
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