Title Statements
- Full title :Advanced Process Engineering Control.
Summary
As a mature topic in chemical engineering, the book provides methods, problems and tools used in process control engineering. It discusses: process knowledge, sensor system technology, actuators, communication technology, and logistics, design and construction of control systems and their operation. The knowledge goes beyond the traditional process engineering field by applying the same principles, to biomedical processes, energy production and management of environmental issues. The book explains all the determinations in the "chemical systems" or "process systems", starting from the beginning of the processes, going through the intricate interdependency of the process stages, analyzing the hardware components of a control system and ending with the design of an appropriate control system for a process parameter or a whole process. The book is first addressed to the students and graduates of the departments of Chemical or Process Engineering. Second, to the chemical or process engineers in all industries or research and development centers, because they will notice the resemblance in approach from the system and control point of view, between different fields which might seem far from each other, but share the same control philosophy.
Read More ↓Edition Statements
- Publication Date:2017.
Publication Statements
- Publisher(s):De Gruyter
- Place of Publication:Berlin/Boston
- Language:eng
- Publication Date:2017.
Notes
6.1 Introduction.
The Physical Object
- Description:1 online resource (344 pages)
Edition Identifiers
- ISBN:9783110306637, 3110306638
- oclc:ocn971365390
- LC Classification:TP155.75
- Dewey Decimal:660.2815
Table of Contents
Preface ; Contents ; Part I: Advanced Process Control ; 1 Complex and nonconventional control systems ; 1.1 Cascade control systems ; 1.1.1 Processes in series ; 1.1.2 Processes in parallel ; 1.2 Feedforward control systems ; 1.3 Ratio control systems.
1.4 Inferential control systems 1.5 Selective control systems ; References ; 2 Model predictive control ; 2.1 Introduction ; 2.2 MPC history ; 2.3 Basics of MPC control strategy ; 2.4 Types of MPC process models ; 2.4.1 Impulse and step response models ; 2.4.2 State-space models.
2.4.3 Time series models 2.5 Predictions for MPC ; 2.6 Optimization for MPC ; 2.7 MPC tuning ; 2.8 MPC stability ; 2.9 Nonlinear MPC ; References ; 3 Fuzzy control ; 3.1 Introduction ; 3.2 Fuzzy sets ; 3.3 Typical membership functions of the fuzzy sets.
3.4 Operations with fuzzy sets 3.5 Fuzzy logic ; References ; 4 Optimal control systems ; 4.1 Steady-state optimal control ; 4.2 Dynamic optimal control of batch processes ; 4.3 Dynamic optimal control of continuous processes ; References ; 5 Multivariable control.
5.1 Introduction 5.2 Multiloop control ; 5.2.1 Interaction among control loops ; 5.2.2 Pairing the control loops ; 5.2.3 Tuning the multiloop…
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