Process Control: Theory and Applications

ISBN-13: 9781852337766 / Angielski / Twarda / 2004 / 752 str.

Jean-Pierre Corriou

Opis

In Process Control, a wide range of identification and control methods applicable to processes are accompanied by typical comparable examples, encouraging you to make comparisons. The initial classical approach to continuous control by transfer functions will be of enormous benefit, whether you are a student beginning in control or an engineer in industry who, up until now, has only had a superficial or empirical contact with control. The more advanced material on discrete control and state-space control, as well as nonlinear control and observers, requires minimal previous knowledge, allowing you to make better use of techniques with proven performance. - Introduces concepts of progressively increasing difficulty, smoothing the path to learning the more advanced theories and control methods. - For each topic, the theories, techniques and algorithms are presented in detail, with numberous references. - The comparative consideration of different approaches to similar problems deepens your understanding. - Examples that you can reproduce to master the different techniques. Broad coverage creates an important synthesis of the spectrum of control theory and its process-industry-related applications. Different levels of reading are possible, opening this powerful source of information to engineers, academics, researchers and students alike.

Spis treści

1 Dynamic Modelling of Chemical Processes.- 2 Linear Feedback Control.- 3 Stability Analysis.- 4 Design of Feedback Controllers.- 5 Frequency Analysis.- 6 Improvement of Control Systems.- 7 State Representation, Controllability and Observability.- 8 Multivariable Control by Transfer Function Matrix.- 9 Discrete-Time Generalities and Basic Signal Processing.- 10 Identification Principles.- 11 Models and Methods for Parametric Identification.- 12 Parametric Estimation Algorithms.- 13 Digital Control.- 14 Optimal Control.- 15 Generalized Predictive Control.- 16 Model Predictive Control.- 17 Nonlinear Geometric Control.- 18 State Observers.- 19 Nonlinear Control of Reactors with State Estimation.- 20 Distillation Column Control.- 21 Examples and Benchmarks of Typical Processes.

Blurb

A wide range of identification and control methods applicable to processes are accompanied by typical comparable examples, encouraging you to make comparisons.

The initial classical approach to continuous control by transfer functions will be of enormous benefit, whether you are a student beginning in control or an engineer in industry who, up until now, has only had a land contact with control. The more advanced material on discrete control and the state space control, as well as nonlinear control and observers, requires minimal previous knowledge, allowing you to make better use of performing techniques.

•Progressively introduces concepts of increasing difficulty, allowing a less brutal tuition of theories and control methods.

• For each topic, the theories, techniques and algorithms are presented in detail, with numberous references.

• The consideration of the same problems by different approaches will provoke a deep understanding.

• All necessary explanations for your complete understanding of the subject.

• Examples that you can reproduce to master the different techniques.

Broad coverage creates and important synthesis on the majority of aspects of control that gives you a complete view of control theory and possible applications within the field. Different levels of reading are possible, opening this powerful source of information to students, engineers, academics and researchers alike.