ie7b02165_si_001.pdf (4.19 MB)
Multiloop Integral Controllability Analysis for Nonlinear Multiple-Input Single-Output Processes
journal contribution
posted on 2017-06-14, 00:00 authored by Yi Zhang, Steven Su, Andrey Savkin, Branko Celler, Hung NguyenThe
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.
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quadruple-tank systemcontrol loop failureDICintegral controllabilityTISOnonlinear MISO processestwo-input single-outputintegral actionsoffset-free controlmultiple-input single-outputnonsquare processestemperature control systemMIC conditionsperformancemultiloop integral controllabilityMultiloop Integral Controllability AnalysisNonlinear Multiple-Input Single-Output ProcessesMIC analysiscontrol loops
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