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ISBN13: | 9781032425832 |
ISBN10: | 10324258311 |
Kötéstípus: | Puhakötés |
Terjedelem: | 174 oldal |
Méret: | 234x156 mm |
Súly: | 560 g |
Nyelv: | angol |
Illusztrációk: | 71 Illustrations, black & white; 3 Halftones, black & white; 68 Line drawings, black & white |
785 |
Control Basics for Mechatronics
GBP 29.99
Kattintson ide a feliratkozáshoz
A Prosperónál jelenleg nincsen raktáron.
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.
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.
All too many courses in control theory consist of a diet of ?Everything you could ever need to know about the Laplace Transform? rather than answering ?What happens when your servomotor saturates?? Topics in this book have been selected to answer the questions that the mechatronics student is most likely to raise.That does not mean that the mathematical aspects have been left out, far from it. The diet here includes matrices, transforms, eigenvectors, differential equations and even the dreaded z transform. But every effort has been made to relate them to practical experience, to make them digestible. They are there for what they can do, not to support pages of mathematical rigour that defines their origins.
The theme running throughout the book is simulation, with simple JavaScript applications that let you experience the dynamics for yourself. There are examples that involve balancing, such as a bicycle following a line, and a balancing trolley that is similar to a Segway. This can be constructed ?for real?, with components purchased from the hobby market.
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.
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