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Simulation Vs. Real Time Control; With Applications To Robotics And Neural Networks

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Conference

2001 Annual Conference

Location

Albuquerque, New Mexico

Publication Date

June 24, 2001

Start Date

June 24, 2001

End Date

June 27, 2001

ISSN

2153-5965

Page Count

19

Page Numbers

6.878.1 - 6.878.19

DOI

10.18260/1-2--9778

Permanent URL

https://peer.asee.org/9778

Download Count

448

Paper Authors

author page

Joseph Wunderlich

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Abstract
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract

Session 2793

Simulation vs. Real-time Control; with Applications to Robotics and Neural Networks

Joseph T. Wunderlich, Ph.D. EE Elizabethtown College Computer Engineering Program

Abstract

Simulations are often used to model real physical systems prior to electrical, mechanical, and computer hardware development. This allows engineers and scientists to experiment with various concepts before committing time and effort into hardware. Simulations can also be run concurrently with real-time systems to build knowledge of the environment that the real-time system is operating in, then provide feedback to the system to optimize its performance. For both of these types of simulations, the simulation must accurately model the real physical system. A comparison of simulations to real-time controlled physical systems is illustrated in this paper using several simple robotic and artificial Neural Network examples. The robotics examples show how real-time control of mobile robots and robotic-arms, and the resultant governing equations and software algorithms can provide several interesting simulation problems to overcome if the simulation is to accurately model the physical system. The Neural Network example demonstrates how computational speed and numerical precision can become an issue when comparing simulations to real-time Neural Network hardware. In general, comparison of simulations to real physical systems often enhances understanding of the underlying governing principles and equations, and results in simulations that accurately model the real world.

I. Introduction

A comparison of real-time controlled systems to computer simulations is made below by simultaneously discussing the design and development of each. Both of these engineering processes can be accomplished by performing the following steps:

1) Define problem 2) Simplify 3) Find governing equations 4) Build 5) Test (and rebuild as needed)

Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright  2001, American Society for Engineering Education

Wunderlich, J. (2001, June), Simulation Vs. Real Time Control; With Applications To Robotics And Neural Networks Paper presented at 2001 Annual Conference, Albuquerque, New Mexico. 10.18260/1-2--9778

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