Advanced Control of Industrial Processes presents the concepts and
algorithms of advanced industrial process control and on-line
optimisation within the framework of a multilayer structure. Relatively
simple unconstrained nonlinear fuzzy control algorithms and linear
predictive control laws are covered, as are more involved constrained
and nonlinear model predictive control (MPC) algorithms and on-line
set-point optimisation techniques.
The major topics and key features are:
- Development and discussion of a multilayer control structure with
interrelated direct control, set-point control and optimisation layers,
as a framework for the subject of the book.
- Systematic presentation and stability analysis of fuzzy feedback
control algorithms in Takagi-Sugeno structures for state-space and
input-output models, in discrete and continuous time, presented as
natural generalisations of well-known practical linear control laws
(like the PID law) to the nonlinear case.
- Thorough derivation of most practical MPC algorithms with linear
process models (dynamic matrix control, generalised predictive control,
and with state-space models), both as fast explicit control laws (also
embedded into appropriate structures to cope with process input
constraints), and as more involved numerical constrained MPC algorithms.
- Development of computationally effective MPC structures for nonlinear
process models, utilising on-line model linearisations and fuzzy
reasoning.
- General presentation of the subject of on-line set-point improvement
and optimisation, together with iterative algorithms capable of coping
with uncertainty in process models and disturbance estimates.
- Complete theoretical stability analysis of fuzzy Takagi-Sugeno
control systems, discussion of stability and feasibility issues of MPC
algorithms as well as of tuning aspects, discussion of applicability and
convergence of on-line set-point improvement algorithms.
- Thorough illustration of the methodologies and algorithms by worked
examples in the text.
- Control and set-point optimisation algorithms together with results
of simulations based on industrial process models, stemming primarily
from the petrochemical and chemical industries.
Starting from important and well-known techniques (supplemented with the
original work of the author), the book includes recent research results
mainly concerned with nonlinear advanced feedback control and set-point
optimisation. It is addressed to readers interested in the important
basic mechanisms of advanced control, including engineers and
practitioners, as well as to research staff and postgraduate students.
