Software-based optimal PID design with robustness and noise sensitivity constraints
Författare
Summary, in English
Even though PID control has been available for a long time, there are still no tuning methods including derivative action that have gained wide acceptance in industry. Also, there is still no general consensus for when one should use PID, PI or even I control on a process. The focus of this article is to present a new method for optimal PID control design that automatically picks the best controller type for the process at hand. The proposed PID design procedure uses a software-based method to find controllers with optimal or near optimal load disturbance response subject to robustness and noise sensitivity constraints. It is shown that the optimal controller type depends on maximum allowed noise sensitivity as well as process dynamics. The design procedure thus results in a set of PID, PI and I controllers with different noise filters that the user can switch between to reach an acceptable control signal activity. The software is also used to compare PI and PID control performance with equivalent noise sensitivity and robustness over a large batch of processes representative for the process industry. This can be used to show how much a particular process benefits from using the derivative part.
Avdelning/ar
Publiceringsår
2015
Språk
Engelska
Sidor
90-101
Publikation/Tidskrift/Serie
Journal of Process Control
Volym
33
Issue
9
Länkar
Dokumenttyp
Artikel i tidskrift
Förlag
Elsevier
Ämne
- Control Engineering
Nyckelord
- Software tools
- PID control
- Optimization
- Measurement noise
- Control system design
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 1873-2771