[Back]


Talks and Poster Presentations (with Proceedings-Entry):

M. Killian, M. Kozek:
"Optimal partitioning of a boiler-turbine unit for Fuzzy model predictive control";
Talk: 20th IFAC World Congress, Toulouse, France; 2017-07-09 - 2017-07-14; in: "Proc. of 20th IFAC World Congress", Proc. of 20th IFAC World Congress, (2017), Paper ID 2587, 6 pages.



English abstract:
In order to effectively control the multi-input multi-output (MIMO) characteristics
of a boiler-turbine unit Fuzzy model predictive control (FMPC) has been previously applied
successfully. An important step in the FMPC design is the partitioning (also called the design
of the antecedent rules). In this work it is shown that by exploiting the plant characteristics and
by using suitable metrics of the nonlinearity a representative one-dimensional partition space
can be defined. Furthermore, it is demonstrated that a simple partition into two linear models
suffices to obtain a stable and performing control system. In order to achieve this simple FMPC
a nonlinear stationary feed-forward decoupling is implemented. Simulation results demonstrate
stability and performance of the resulting control system even for large reference steps. The
methodology developed in this work is quite general and can be easily applied to the FMPC
design for other nonlinear MIMO plants.

Keywords:
Modeling and simulation of power systems, Nonlinear predictive control, Model predictive and optimization-based control, Intelligent control of power systems.


Electronic version of the publication:
http://publik.tuwien.ac.at/files/publik_258665.pdf


Created from the Publication Database of the Vienna University of Technology.