John Billingsley

Control Basics for Mechatronics (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Mechatronics is a mongrel, a crossbreed of classic mechanical engineering, the relatively young pup of computer science, the energetic electrical engineering, the pedigree mathematics and the bloodhound of Control Theory.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 174
• Erscheinungstermin: 28. September 2023
• Englisch
• ISBN-13: 9781000927412
• Artikelnr.: 68694737

Autorenporträt

As a Cambridge Mathematics Scholar, John completed the mathematics tripos in two years, then spent his third year studying electronics. Following a Graduate Apprenticeship, he designed algorithms and electronics for aircraft control systems. He then returned to Cambridge to complete his doctoral research on Predictive Control.

He remained in Cambridge as a Fellow of Sidney Sussex College. Eight years later he moved to a Readership at Portsmouth Polytechnic, now Portsmouth University and later became Professor of Robotics. He led groups researching the 'Craftsman Robot' and walking robots. He helped found companies designing embedded electronics for domestic appliances and nuclear test equipment.

In1992 John moved to Toowoomba, Australia, where he applied machine vision to precision tractor guidance. He co-founded the National Centre for Engineering in Agriculture of the University of Southern Queensland.

This year he was joint organiser of the twenty-sixth annual conference on Mechatronics and Machine Vision in Practice, a series which he inaugurated in 1994.

Inhaltsangabe

1. Why Do You Need Control Theory? 2. Modelling Time .3. A Simulation
Environment 4. Step Length Considerations. 5. Modelling a Second-Order
System .6. The Complication of Motor Drive Limits. 7. Practical Controller
Design 8. Adding Dynamics to the Controller 9. Sensors and Actuators. 10.
Analogue Simulation. 11. Matrix State Equations. 12. Putting It into
Practice. 13. Observers 14. More about the Mathematics 15. Transfer
Functions 16. Solving the State Equations 17. Discrete Time and the z
Operator. 18. Root locus. 19. More about the Phase Plane. 20. Optimisation
and an Experiment. 21. Problem Systems. 22. Final Comments.