Use of recovered fuel in a piston engine under engine control module modulation in self-fuzzy mode

2015 ◽  
Vol 19 (sup8) ◽  
pp. S8-846-S8-848
Author(s):  
M.-W. Shao
Keyword(s):  
Engine Control ◽  
Piston Engine ◽  
Control Module

scholarly journals FPGA Based Engine Control Module for Fuel Injection System

2019 ◽  
Vol 8 (10) ◽  
pp. 3888-3892
Keyword(s):  
Fuel Injection ◽  
Design Tool ◽  
Operating Conditions ◽  
Injection System ◽  
Fuel Injection System ◽  
Engine Control ◽  
Computationally Efficient ◽  
Control Module ◽  
Fuel Prices ◽  
Ecm Architecture

Fuel injection system is an indispensible part of the present day automobiles. The depletion of the fuels along with continuous surge in the fuel prices has made it imperative to use fuel economically and restricting the wastage to a minimum. Contrary to the carburetor, using predefined amount of fuel irrespective of the environment, Fuel Injection System uses just the required amount of fuel based on the operating conditions as sensed by the Engine Control Module (ECM). Numerous parameters are required to be sensed by the ECM to achieve optimum efficiency of the engine. To handle the processing of such large number of parameters, a robust architecture is required. This paper presents the design and implementation of ECM utilized in Electronic Fuel Injection (EFI) system on a Field Programmable Gate Array. The ECM architecture discussed in the proposed system is computationally efficient enough to fulfill ever-increasing functionalities of the ECM. The main objective of this research is to sense the parameters required for the ECM analysis and to interpret and analyze this data and accordingly control the solenoid (actuator). The CAN controller is also deployed in an FPGA to facilitate the communication between ECM and Human Machine Interface (HMI) to indicate the parameters sensed by the sensor on the LCD. The target device (FPGA) for this work is Xilinx Spartan 3E and the design tool is Xilinx ISE 14.7 with the ECM and CAN controller being modeled in Verilog Hardware Description Language (HDL).

scholarly journals Fault Diagnosis Method for Engine Control System Based on Probabilistic Neural Network and Support Vector Machine

2019 ◽  
Vol 9 (19) ◽  
pp. 4122 ◽  
Author(s):  
Bo Wang ◽  
Hongwei Ke ◽  
Xiaodong Ma ◽  
Bing Yu
Keyword(s):  
Neural Network ◽  
Support Vector Machine ◽  
Control System ◽  
Fault Diagnosis ◽  
Probabilistic Neural Network ◽  
Support Vector ◽  
Engine Control ◽  
Piston Engine ◽  
Engine Control System ◽  
Diagnosis Method

Due to the poor working conditions of an engine, its control system is prone to failure. If these faults cannot be treated in time, it will cause great loss of life and property. In order to improve the safety and reliability of an aero-engine, fault diagnosis, and optimization method of engine control system based on probabilistic neural network (PNN) and support vector machine (SVM) is proposed. Firstly, using the German 3 W piston engine as a control object, the fault diagnosis scheme is designed and introduced briefly. Then, the fault injection is performed to produce faults, and the data sample for engine fault diagnosis is established. Finally, the important parameters of PNN and SVM are optimized by particle swarm optimization (PSO), and the results are analyzed and compared. It shows that the engine fault diagnosis method based on PNN and SVM can effectively diagnose the common faults. Under the optimization of PSO, the accuracy of PNN and SVM results are significantly improved, the classification accuracy of PNN is up to 96.4%, and the accuracy of SVM is up to 98.8%, which improves the application of them in fault diagnosis technology of aero-piston engine control system.

A New Passive Interface to Simulate On-Vehicle Systems for Direct-to-Module (DTM) Engine Control Module (ECM) Data Recovery

2010 ◽  
Author(s):  
Brian M. Boggess ◽  
Ashley Dunn ◽  
Douglas Morr ◽  
Timothy Martin ◽  
Anthony Cornetto ◽  
...  
Keyword(s):  
Data Recovery ◽  
Engine Control ◽  
Control Module ◽  
Vehicle Systems

A Novel Approach to Free-Piston Engine Control Using an FPGA Based Control System

2011 ◽  
Author(s):  
Matthew Viele ◽  
Eric E. Shorey ◽  
Carroll G. Dase ◽  
Karl V. Hoose ◽  
Kendrick H. Light
Keyword(s):  
Control System ◽  
Engine Control ◽  
Piston Engine ◽  
Stroke Length ◽  
Free Piston ◽  
Simple Method ◽  
Engine Control System ◽  
Bottom Dead Center ◽  
Novel Approach ◽  
Free Piston Engine

The variable stroke length of the free-piston engine poses an interesting problem for the controls engineer. At a low level, the control system must be able to track piston position and address changes in top and bottom dead center positions. To accomplish this, a new FPGA (field programmable gate array) based engine position tracking software was developed, along with a simple method of mapping from a conventional engine control system to a free-piston control system. The tracking software was integrated into a complete rapid prototyping control system that was responsible for all control actions of the engine. The control system was laboratory tested on the HiPerTEC, an opposed, free-piston engine with a circular piston arrangement (as opposed to linear free-piston engines) developed by Applied Thermal Sciences, Inc (ATS). The control system has been demonstrated to run 8 cylinders up to an effective speed of 2,200rpm in spark ignition mode.

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