Browse Publications Technical Papers 2005-01-0045
2005-04-11

A Neural Network Based Methodology for Virtual Sensor Development 2005-01-0045

Recent advances in ANN (Artificial Neural Network) technology enable new methods to be developed in sensor technology. There are a large number of cases where there exists a causal relationship between one or more inputs and a physical quantity, but where an easily implemented analytical relationship between the inputs and the output can not easily be found. In such cases, machine learning techniques, such as artificial neural networks, are able to model that functional relationship. However, using conventional computing hardware, these methods, while theoretically attractive, are too computationally intensive for field deployment in real-time systems.
Using a hardware implementation of an artificial neural network architecture, these computational restrictions can be eliminated. The authors have been working on the implementation of neural network based virtual sensors, specifically for use within automotive powertrain applications, using multiple inputs to estimate multi-dimensional non-linear relationships between existing sensor data and desired engine control parameters.
This paper will discuss the process of developing a hardware ANN based function estimator, with special focus on virtual sensing applications. The example used in this paper is a virtual mass airflow sensor (MAF), where the MAF estimate has been derived from other sensor inputs which are readily available to the engine controller.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Preview Document Add to Cart
Members save up to 16% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
TECHNICAL PAPER

Development and Usage of a Virtual Mass Air Flow Sensor

2005-01-0074

View Details

TECHNICAL PAPER

Virtual Sensing of SI Engines Using Recurrent Neural Networks

2006-01-1348

View Details

TECHNICAL PAPER

Improvements to Function Approximation Using a Hardware-Accelerated Artificial Neural Network

2006-01-1350

View Details

X