<p>The paper proposes a formula of quantitative robust parameter tuning of a first-order reduced active disturbance rejection controller (RADRC) with simple structure and implementation for high-order processes. Through analytical considerations in the frequency domain and quantitative analysis of the maximum sensitivity characteristics with process parameter variations, a robust parameter tuning formula is derived. The novelty of this paper is the proposed controller design method with simple structure and algorithmic implementation and high performance than the previous methods. The simulation results show that the proposed tuning formula is effective and superior to the previous methods. And, field-based tests on speed-stabilizing control of an engine widely applied in practice have fully demonstrated their practical effectiveness.</p>

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Research on the derivation of analytical and quantitative robust parameter tuning formula for first-order reduced active disturbance rejection controller

  • Song-Mu Kim,
  • Jong Hun Sin,
  • Su-Yong Paek,
  • Sun Yong Ri,
  • Chol-Jun Hwang

摘要

The paper proposes a formula of quantitative robust parameter tuning of a first-order reduced active disturbance rejection controller (RADRC) with simple structure and implementation for high-order processes. Through analytical considerations in the frequency domain and quantitative analysis of the maximum sensitivity characteristics with process parameter variations, a robust parameter tuning formula is derived. The novelty of this paper is the proposed controller design method with simple structure and algorithmic implementation and high performance than the previous methods. The simulation results show that the proposed tuning formula is effective and superior to the previous methods. And, field-based tests on speed-stabilizing control of an engine widely applied in practice have fully demonstrated their practical effectiveness.