System Dynamics: An Introduction for Mechanical Engineers

ISBN-13: 9781461491514 / Angielski / Twarda / 2014 / 667 str.

Karl A. Seeler

Opis

This unique textbook takes the student from the initial steps in modeling a dynamic system through development of the mathematical models needed for feedback control. The generously-illustrated, student-friendly text focuses on fundamental theoretical development rather than the application of commercial software. Practical details of machine design are included to motivate the non-mathematically inclined student.

Spis treści

Introduction.- Differential Equations, Input Functions, Complex Exponentials, and Transfer Functions.- Introduction to the Linear Graph Method, Step Responses, and Superposition.- Mechanical Systems.- Fluid, Electrical, and Thermal Systems.- Power Transmission, Transformation and Conversion.- Vector-Matrix Algebra and the State-Space Representation of Dynamic Systems.- Finite Difference Methods and MATLAB.- Transfer Functions, Block Diagrams and the s-plane.- Frequency Response.- AC Circuits and Motors.  

O autorze

Professor Karl Seeler is Professor of Mechanical Engineering at Lafayette College. His research interests mechanical properties of polymer, microcellular polymers, structural stability, machine safety, and systems dynamics. He holds a PhD from MIT.

Blurb

This essential textbook takes the student from the initial steps in modeling a dynamic system through development of the mathematical models needed for feedback control.  The generously-illustrated, student-friendly text focuses on fundamental theoretical development rather than the application of commercial software.  Practical details of machine design are included to motivate the non-mathematically inclined student.

This book also:

Emphasizes the linear graph method for modeling dynamic systems

Offers a systematic approach for creating an engineering model, extracting information, and formulating mathematical analyses

Adopts a unifying theme of power flow as the dynamic agent that eases analysis of hybrid systems, such as machinery

Presents differential equations as dynamic operators and stresses input/output relationships

Introduces Mathcad and programming in MATLAB

Allows for use of Open Source Computational Software (R or C)

Features over 1000 illustrations