10.1021/acs.iecr.7b02165.s001
Yi Zhang
Yi
Zhang
Steven Su
Steven
Su
Andrey Savkin
Andrey
Savkin
Branko Celler
Branko
Celler
Hung Nguyen
Hung
Nguyen
Multiloop Integral Controllability Analysis for Nonlinear
Multiple-Input Single-Output Processes
American Chemical Society
2017
quadruple-tank system
control loop failure
DIC
integral controllability
TISO
nonlinear MISO processes
two-input single-output
integral actions
offset-free control
multiple-input single-output
nonsquare processes
temperature control system
MIC conditions
performance
multiloop integral controllability
Multiloop Integral Controllability Analysis
Nonlinear Multiple-Input Single-Output Processes
MIC analysis
control loops
2017-06-14 00:00:00
Journal contribution
https://acs.figshare.com/articles/journal_contribution/Multiloop_Integral_Controllability_Analysis_for_Nonlinear_Multiple-Input_Single-Output_Processes/5170711
The
decentralized integral controllability (DIC) for linear/nonlinear
square processes implies the existence of stable decentralized controllers
with integral actions capable of achieving offset-free control and
detuning any subset of the control loops independently. However, the
current version of the DIC cannot be directly applied to nonsquare
processes specifically for multiple-input single-output (MISO) processes.
This paper presents the new definition and theorem of multiloop integral
controllability (MIC) to nonlinear MISO processes, and proposes the
sufficient MIC conditions in order for such processes to guarantee
decentralized unconditional stability under control loop failure as
well as to achieve offset-free tracking performance. Two examples,
the quadruple-tank system (model based) and the temperature control
system, are modified as two-input single-output (TISO) plants and
given to quantitatively interpret the effectiveness of the proposed
MIC analysis where the desirable performance of both applications
can be obtained.