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3 - Modeling Techniques

Published online by Cambridge University Press:  02 September 2009

Jer-Nan Juang
Affiliation:
NASA-Langley Research Center
Minh Q. Phan
Affiliation:
Dartmouth College, New Hampshire
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Summary

Introduction

In this chapter, methods for developing dynamic equations of motion are introduced. We start with Newton's laws, which are fundamental to dynamic systems. Direct applications of Newton's laws to develop dynamic equations of motion become difficult for dynamic systems with complex configurations such as aircraft, automobiles, etc. D'Alembert's principle is introduced to derive the principle of virtual work for a body composed of a number of particles acted on by a number of external forces. By the concept of virtual work, Hamilton's principle is shown. Hamilton's principle is then used to formulate Lagrange's equation of motion (Refs. [1–2]). In contrast to Newton's second law, which involves vector quantities such as forces and accelerations, Hamilton's principle and Lagrange's equation use scalar quantities, including kinetic energy, potential energy, and virtual work, to develop the system's equations of motion. Along a similar line, Gibbs–Appell equations of motion are introduced with the scalar formed by the squared amplitude of acceleration instead of kinetic and potential energies. Finally, Kane's equations are derived with the same approach used in formulating the Gibbs–Appell equations. Kane's equations introduce a generalized speed vector rather than a scalar quantity (Ref. [3]). All techniques are related. Selecting a method to derive dynamic equations of motion is problem dependent.

Newton's Three Fundamental Laws

These laws were formulated and published by Sir Isaac Newton (1642–1726) in 1687 in his famous Principia (Philosophiae Naturalis Principia Mathematica).

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Publisher: Cambridge University Press
Print publication year: 2001

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  • Modeling Techniques
  • Jer-Nan Juang, NASA-Langley Research Center, Minh Q. Phan, Dartmouth College, New Hampshire
  • Book: Identification and Control of Mechanical Systems
  • Online publication: 02 September 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511547119.004
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  • Modeling Techniques
  • Jer-Nan Juang, NASA-Langley Research Center, Minh Q. Phan, Dartmouth College, New Hampshire
  • Book: Identification and Control of Mechanical Systems
  • Online publication: 02 September 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511547119.004
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Modeling Techniques
  • Jer-Nan Juang, NASA-Langley Research Center, Minh Q. Phan, Dartmouth College, New Hampshire
  • Book: Identification and Control of Mechanical Systems
  • Online publication: 02 September 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511547119.004
Available formats
×