Bohdan T. Kulakowski

Dynamic Modeling and Control of Engineering Systems (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This textbook is ideal for a course in engineering systems dynamics and controls. The work is a comprehensive treatment of the analysis of lumped parameter physical systems. Starting with a discussion of mathematical models in general, and ordinary differential equations, the book covers input/output and state space models, computer simulation and modeling methods and techniques in mechanical, electrical, thermal and fluid domains. Frequency domain methods, transfer functions and frequency response are covered in detail. The book concludes with a treatment of stability, feedback control (PID, lead-lag, root locus) and an introduction to discrete time systems. This new edition features many new and expanded sections on such topics as: solving stiff systems, operational amplifiers, electrohydraulic servovalves, using Matlab with transfer functions, using Matlab with frequency response, Matlab tutorial and an expanded Simulink tutorial. The work has 40% more end-of-chapter exercises and 30% more examples.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 2. Juli 2007
• Englisch
• ISBN-13: 9781139931373
• Artikelnr.: 41329612

Autorenporträt

Bohdan Kulakowski, PhD (1943-2006) was Professor of Mechanical Engineering in the Department of Mechanical and Nuclear Engineering at Pennsylvania State University. Kulakowski was an internationally recognized expert in automatic control systems, computer simulations and control of industrial processes, system dynamics, vehicle/road dynamic interaction and transportation systems. His fuzzy logic algorithm for avoiding skidding accidents was recognized in 2000 by Discover magazine as one of its top 10 technological innovations of the year.

Inhaltsangabe

Preface
1. Introduction
2. Mechanical systems
3. Mathematical models
4. Analytical solutions of system input-output equations
5. Numerical solutions of ordinary differential equations
6. Simulation of dynamic systems
7. Electrical systems
8. Thermal systems
9. Fluid systems
10. Mixed systems
11. Transfer functions
12. Frequency analysis
13. Closed-loop systems and system stability
14. Control systems
15. Analysis of discrete-time systems
16. Digital control systems
Appendix 1. Fourier series and the Fourier transformation
Appendix 2. Laplace transformations
Appendix 3. Matlab tutorial
Appendix 4. Simulink tutorial
Index.