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Related Experiment Video

Updated: May 29, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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DC servomechanism parameter identification: a Closed Loop Input Error approach.

Ruben Garrido1, Roger Miranda

  • 1Departamento de Control Automático, CINVESTAV-IPN, Av. IPN 2508 San Pedro Zacatenco, México, DF 07360, Mexico. garrido@ctrl.cinvestav.mx

ISA Transactions
|August 27, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a Closed Loop Input Error (CLIE) method for real-time estimation of DC servomechanism models. The approach accurately identifies key parameters like friction and inertia using a PD controller.

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Area of Science:

  • Control Systems Engineering
  • Robotics
  • Mechatronics

Background:

  • Accurate modeling of DC servomechanisms is crucial for effective control.
  • On-line parameter estimation in closed-loop systems presents significant challenges.
  • Existing methods may require prior knowledge of system parameters.

Purpose of the Study:

  • To develop and validate a novel on-line parametric estimation approach for continuous-time DC servomechanism models.
  • To assess the performance of the Closed Loop Input Error (CLIE) method under a standard Proportional Derivative (PD) control law.
  • To analyze the stability of the identification algorithm using Lyapunov stability theory.

Main Methods:

  • Implementation of a Closed Loop Input Error (CLIE) algorithm for parametric estimation.
  • Utilizing a Proportional Derivative (PD) position controller to stabilize the closed-loop system without prior parameter knowledge.
  • Employing Lyapunov stability theory to guarantee the boundedness of estimation signals.
  • Experimental validation on a laboratory DC servomechanism prototype.

Main Results:

  • The CLIE approach successfully estimates the four key parameters of the DC servomechanism model, including inertia, viscous friction, Coulomb friction, and disturbance.
  • The PD controller ensures loop stability throughout the estimation process.
  • Lyapunov stability analysis confirms the robustness of the identification algorithm.
  • Experimental results demonstrate the practical effectiveness and performance of the proposed method.

Conclusions:

  • The CLIE approach provides an effective solution for on-line parametric estimation of DC servomechanisms in closed-loop configurations.
  • The method's independence from prior parameter knowledge and its proven stability make it suitable for real-world applications.
  • This research contributes to advancing the field of adaptive control and system identification for electromechanical systems.