Detail publikace

The Real-Time Communication Between MATLAB and the Real Process Controlled by PLC

Originální název

The Real-Time Communication Between MATLAB and the Real Process Controlled by PLC

Anglický název

The Real-Time Communication Between MATLAB and the Real Process Controlled by PLC

Jazyk

en

Originální abstrakt

Many controlling algorithms were developed to satisfy designers assumption that controlled process is stable, optimal, adaptive etc. Only few of them should be used in the real-time, on-line adaptation or implemented into Programmable Logic Controller. Algorithms based on neural networks were successfully tested as for the process control as for the process identification. In simulation, quantization effect given by A/D and D/A converter is very often left out. Quantization effect influences identified process transfer function and controller possibilities. In this case, controller controls the process inaccurate and often with oscillations than without quantization. This paper shows a comparison between two identification methods. Online identification (in the real time) based on neural networks and a classical identification are implemented in adaptive LQ controller with three types of A/D and D/A converters at least be closer in simulation the real process controlling.

Anglický abstrakt

Many controlling algorithms were developed to satisfy designers assumption that controlled process is stable, optimal, adaptive etc. Only few of them should be used in the real-time, on-line adaptation or implemented into Programmable Logic Controller. Algorithms based on neural networks were successfully tested as for the process control as for the process identification. In simulation, quantization effect given by A/D and D/A converter is very often left out. Quantization effect influences identified process transfer function and controller possibilities. In this case, controller controls the process inaccurate and often with oscillations than without quantization. This paper shows a comparison between two identification methods. Online identification (in the real time) based on neural networks and a classical identification are implemented in adaptive LQ controller with three types of A/D and D/A converters at least be closer in simulation the real process controlling.

BibTex


@inproceedings{BUT8167,
  author="Kamil {Švancara} and Petr {Pivoňka}",
  title="The Real-Time Communication Between MATLAB and the Real Process Controlled by PLC",
  annote="Many controlling algorithms were developed to
satisfy designers assumption that controlled process is stable, optimal, adaptive etc. Only few of them should be used in the real-time, on-line adaptation or implemented into Programmable
Logic Controller. Algorithms based on neural networks were successfully tested as for the process control as for the process identification. In simulation, quantization effect given by A/D and D/A converter is very often left out. Quantization effect influences
identified process transfer function and controller possibilities.
In this case, controller controls the process inaccurate and often with oscillations than without quantization. This paper shows a comparison between two identification methods. Online identification (in the real time) based on neural networks and a classical identification are implemented in adaptive LQ
controller with three types of A/D and D/A converters at least be closer in simulation the real process controlling.",
  booktitle="7th International Conference TMT 2003",
  chapter="8167",
  year="2003",
  month="september",
  pages="1077",
  type="conference paper"
}