Weitere Kapitel dieses Buchs durch Wischen aufrufen
In Chap. 8 the practical application of data-driven control design with the tools and concepts presented along this book is explored. Numerous experimental results showing the data-driven design of controllers for processes of different natures are presented: a thermal process, a motor speed control process and a liquid flow process. For each process various different control designs are performed, with different control objectives. In each design the problem is approached under the light of the theory presented in the previous chapters of this book. The designer’s tools provided in this book, regarding the choice of the cost function, the selection of the optimization algorithm and its parameters, cost function shaping, etc are all explored in detail. These designs illustrate how the theory translates into the real world, showing what are the designer’s choices, and how he/she should make these choices taking into account the theoretical concepts presented in this book in order to obtain the best result from a real data-driven control design.
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Recall the discussion on the minimum variance controller in Chap. 2.
Notice, however, that there is a random component in the cost value, since each time it is measured a different noise realization is present. So, the low cost value obtained in the last iteration may not be as low if measured again.
A root locus argument would show that, and this argument requires no knowledge of the process other than the assumption that its transfer function is of the form ( 8.4).
We will show later, in Sect. 188.8.131.52 that this is indeed the case.
Quanser Inc., DC Motor Control Trainer: User Manual (2009)
- Experimental Results
Alexandre Sanfelice Bazanella
- Springer Netherlands
- Chapter 8