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Data-driven control for multi-rate multi-input/single-output systems.

T Sato1, Y Sakai1, N Kawaguchi1

  • 1Department of Mechanical Engineering, Graduate School of Engineering, University of Hyogo, 2167, Shosha, Himeji, Hyogo 671-2280, Japan.

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|August 21, 2021
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Summary
This summary is machine-generated.

A new data-driven controller for Industrie 4.0 manufacturing is developed without a plant model. This innovative multi-rate method optimizes control inputs, eliminating ripples for superior performance compared to traditional single-rate approaches.

Keywords:
Adaptive controlData-drivenMulti-inputNon-uniformSampled-data control

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Area of Science:

  • Control Engineering
  • Industrial Automation
  • Data-Driven Methods

Background:

  • Industrie 4.0 manufacturing requires advanced control systems.
  • Traditional controllers often rely on complex mathematical plant models.
  • Non-unique input/output conversion ratios pose design challenges.

Purpose of the Study:

  • To develop a data-driven controller for Industrie 4.0.
  • To design a controller without a mathematical plant model.
  • To eliminate inter-sample ripples in control inputs.

Main Methods:

  • A multi-input, multi-rate data-driven controller design.
  • Optimal controller design via model reference problem using one-shot data.
  • Evaluation of control input deviation to eliminate ripples.

Main Results:

  • A fixed-structured, data-driven controller is optimally designed.
  • Inter-sample ripples are eliminated, achieving a non-ripple controller.
  • The proposed multi-rate method outperforms conventional single-rate methods.

Conclusions:

  • The developed data-driven controller is effective for Industrie 4.0.
  • The method successfully addresses non-unique conversion ratios and inter-sample ripples.
  • This approach offers a superior alternative to traditional control strategies.