Detail publikace

Adaptive Optimal Controller Direct Implemented from MATLAB into PLC B&R

Originální název

Adaptive Optimal Controller Direct Implemented from MATLAB into PLC B&R

Anglický název

Adaptive Optimal Controller Direct Implemented from MATLAB into PLC B&R

Jazyk

en

Originální abstrakt

The present paper will focus on the Linear-Quadratic optimal controller (LQ) in form as an adaptive controller implemented from MATLAB into Programmable Logic Controller (PLC). The issue of LQ controlling is well known for off-line design. An adaptive form of LQ controller and its on-line application has still questions to solve. LQ controller is not minimizing traditionally from the last step to current by Bellman dynamic programming, but it is minimizing in each step ahead to get necessary fast solution. Using numerical square-root factors we could obtain very fast numerical solution of Riccati equation and even numerically stable algorithm, which is very important for the presented version. ANSI C supports the transfer of the algorithm from MATLAB into PLC B&R.

Anglický abstrakt

The present paper will focus on the Linear-Quadratic optimal controller (LQ) in form as an adaptive controller implemented from MATLAB into Programmable Logic Controller (PLC). The issue of LQ controlling is well known for off-line design. An adaptive form of LQ controller and its on-line application has still questions to solve. LQ controller is not minimizing traditionally from the last step to current by Bellman dynamic programming, but it is minimizing in each step ahead to get necessary fast solution. Using numerical square-root factors we could obtain very fast numerical solution of Riccati equation and even numerically stable algorithm, which is very important for the presented version. ANSI C supports the transfer of the algorithm from MATLAB into PLC B&R.

BibTex


@inproceedings{BUT4453,
  author="Kamil {Švancara} and Petr {Pivoňka}",
  title="Adaptive Optimal Controller Direct Implemented from MATLAB into PLC B&R",
  annote="The present paper will focus on the Linear-Quadratic optimal controller (LQ) in form as an adaptive controller implemented from MATLAB into Programmable Logic Controller (PLC). The issue of LQ controlling is well known for off-line design. An adaptive form of LQ controller and its on-line application has still questions to solve. LQ controller is not minimizing traditionally from the last step to current by Bellman dynamic programming, but it is minimizing in each step ahead to get necessary fast solution. Using numerical square-root factors we could obtain very fast numerical solution of Riccati equation and even numerically stable algorithm, which is very important for the presented version. ANSI C supports the transfer of the algorithm from MATLAB into PLC B&R.",
  address="DAAAM International Vienna",
  booktitle="Proceedings of the 13.th International DAAAM Symposium",
  chapter="4453",
  institution="DAAAM International Vienna",
  year="2002",
  month="october",
  pages="547",
  publisher="DAAAM International Vienna",
  type="conference paper"
}