Buch, Englisch, 314 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1420 g
Buch, Englisch, 314 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1420 g
Reihe: Advances in Industrial Control
ISBN: 978-1-84628-585-1
Verlag: Springer
Proportional–integral–derivative (PID) controllers are the most adopted controllers in industrial settings. The availability of microprocessors and software tools and increasing demand for higher product quality at reduced cost have stimulated research to devise new methodologies to improve their performance and ease of use.
"Practical PID Control" focuses on those functionalities that can provide significant improvements in PID performance in combination with parameter tuning. In particular, the choice of filter to make the controller proper, the use of a feedforward action and the selection of an anti-windup strategy are addressed. The choices of identification algorithm and model reduction technique are analysed in the context of model-based PID control. Widely adopted PID-based control architectures (ratio and cascade control) and performance assessment are also covered. Simulation and experimental results are provided better to illustrate the different methodologies and to discuss their pros and cons.
Zielgruppe
Academic researchers studying PID control and process control, engineers working in process industries and applying PID control, graduate students in control, electronic and chemical engineering wishing to learn more about PID control and its application
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Überwachungstechnik
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Mikroprozessoren
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
- Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Verfahrenstechnik, Chemieingenieurwesen
Weitere Infos & Material
Basics of PID Control.- Derivative Filter Design.- Anti-windup Strategies.- Set-point Weighting.- Use of a Feedforward Action.- Plug&Control.- Identification and Model Reduction Techniques.- Performance Assessment.- Control Structures.