Goran Andonovski, Edwin Lughofer, Igor Skrjanc,
"A Comparison of RECCO and FCPFC Controller on Nonlinear Chemical Reactor"
: Proc. of The 36th IASTED International Conference on Modelling, Identification and Control, Serie IASTED Proceedings, ACM, Innsbruck, Austria, 2-2017
A Comparison of RECCO and FCPFC Controller on Nonlinear Chemical Reactor
Sprache des Titels:
Proc. of The 36th IASTED International Conference on Modelling, Identification and Control
In this paper we present a performance comparison between
a new fuzzy (cloud-based) predictive functional control
(FCPFC) and the Robust Evolving Cloud-based controller
(RECCo). Both methods use the same type of
fuzzy cloud-based system (same antecedent part) where the
clouds are used for partitioning the data space and dealing
with non-linearity of the process. In case of FCPFC
the cloud-based fuzzy model is used to identify the process
model and control signal is analytically calculated to minimize some criterion. While in case of RECCo algorithm
the clouds are used to identify the operating region and the
control signal is adapted in online manner. The controllers
were tested on a second order nonlinear, locally unstable,
chemical reactor CSTR (Continuous Stirred Tank Reactor).
The performance and control effort of the methods were
compared according to several criteria.