A cost- and time-effective hardware-in-the-loop simulation platform for automotive engine control systems

2003 ◽  
Vol 217 (1) ◽  
pp. 41-52 ◽  
Author(s):  
W Lee ◽  
M Yoon ◽  
M Sunwoo
Keyword(s):  
Control System ◽  
Real Time ◽  
Code Generation ◽  
Pilot Project ◽  
Engine Control ◽  
Hardware In The Loop ◽  
Automotive Engine ◽  
Engine Model ◽  
Engine Control System ◽  
Custom Made

A new PC-based hardware-in-the-loop simulation (HILS) platform is developed for designing an automotive engine control system. The HILS equipment consists of a widely used PC and commercial off-the-shelf (COTS) I/O boards instead of a powerful computing system and custom-made I/O boards. These features make the HILS equipment more cost effective and flexible. The HILS uses an automatic code generation extension, REAL-TIME WORKSHOP® of the MATLAB® tool-chain, which is one of the standard tools for modelling and off-line simulation in the area of controller design. This helps the control system developers to handle the controlled-object model more easily and to test the control system more comfortably and time effectively. The mean value engine model, which is used in the control design phase, is imported in this HILS. The engine model is supplemented with some I/O subsystems and I/O boards to interface actual input and output signals in real time. The I/O subsystems are designed to synchronize the status of the engine model with the control system as well as to convert the raw data of the I/O boards to the appropriate forms for proper interfaces. To prove the feasibilities of the proposed environment, a pilot project for the development of an air-to-fuel ratio control system is carried out. The HILS environment is proved to be an efficient tool to develop various control functions and to validate the software and hardware of the engine control system.

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.

scholarly journals Marine Dual Fuel Engine Control System Modelling and Safety Implications Analysis

2018 ◽  
Author(s):  
G Theotokatos ◽  
S Stoumpos ◽  
B Bolbot ◽  
E Boulougouris ◽  
D Vassalos
Keyword(s):  
Control System ◽  
Operating Mode ◽  
Dual Fuel ◽  
Published Data ◽  
System Modelling ◽  
Engine Control ◽  
Engine Model ◽  
Engine Control System ◽  
Compressor Surge ◽  
Gate Control

The present study focuses on the modelling of a marine dual fuel engine and its control system with an aim to study the engine response at transient conditions and identify and discuss potential safety implications. This investigation is based on an integrated engine model developed in GT-ISE™ software, capable of predicting the steady state performance as well as the transient response of the engine. This model includes the appropriate modules for realising the functional modelling of the engine control system to implement the ordered engine load changes as well as switching the engine operating mode. The developed model is validated against available published data. Subsequently, two test cases with fuel changes, from gas to diesel and diesel to gas were simulated and the derived results were analysed for investigating the safety implications that may arise during operation. The results showed that the matching of the engine and the turbocharger as well as the exhaust gas waste gate control are critical factors for ensuring compressor surge free operation during fuel changes. 

Real-time Simulation of Turboprop Engine Control System

2017 ◽  
Vol 34 (2) ◽  
Author(s):  
Hanlin Sheng ◽  
Tianhong Zhang ◽  
Yi Zhang
Keyword(s):  
Control System ◽  
Real Time ◽  
Digital Simulation ◽  
Engine Control ◽  
Control Loop ◽  
Real Time Simulation ◽  
The Real ◽  
Engine Control System ◽  
Time Simulation ◽  
Turboprop Engine

AbstractOn account of the complexity of turboprop engine control system, real-time simulation is the technology, under the prerequisite of maintaining real-time, to effectively reduce development cost, shorten development cycle and avert testing risks. The paper takes RT-LAB as a platform and studies the real-time digital simulation of turboprop engine control system. The architecture, work principles and external interfaces of RT-LAB real-time simulation platform are introduced firstly. Then based on a turboprop engine model, the control laws of propeller control loop and fuel control loop are studied. From that and on the basis of Matlab/Simulink, an integrated controller is designed which can realize the entire process control of the engine from start-up to maximum power till stop. At the end, on the basis of RT-LAB platform, the real-time digital simulation of the designed control system is studied, different regulating plans are tried and more ideal control effects have been obtained.

scholarly journals Real-Time Classification of Diesel Marine Engine Loads Using Machine Learning

Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3172 ◽  
Author(s):  
Syed Maaz Shahid ◽  
Sunghoon Ko ◽  
Sungoh Kwon
Keyword(s):  
Control System ◽  
Real Time ◽  
Combustion Engine ◽  
Measured Signal ◽  
Engine Control ◽  
Engine Load ◽  
Engine Control System ◽  
Crank Angle Degree ◽  
Marine Diesel

An engine control system is responsible for controlling the combustion parameters of an internal combustion engine to increase the efficiency of the engine. An optimized parameter setting of an engine control system is highly influenced by the engine load. Therefore, with a change in engine load, the parameter settings need to be updated for higher engine efficiency. Hence, to optimize parameter settings during operation, engine load information is necessary. In this paper, we propose a real-time engine load classification from sensed signals. For the classification, an artificial neural network is used and trained using processed, real, measured data. To that end, a magnetic pickup sensor extracts the rotational speed of the prime mover of a four-stroke V12 marine diesel engine. The measured signal is then converted into a crank angle degree (CAD) signal that shows the behavior of the combustion strokes of firing cylinders at a particular engine load. The CAD signals are considered an input feature to the designed network for classification of engine loads. For verification, we considered five classes of engine load, and the trained network classifies these classes with an accuracy of 99.4%.

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