IEEE Access (Jan 2022)

Differential Evolution Algorithms Comparison Used to Tune a Visual Control Law

  • Pablo Sanchez-Sanchez,
  • Jose Guillermo Cebada-Reyes,
  • Agustin Ruiz-Garcia,
  • Aidee Montiel-Martinez,
  • Fernando Reyes-Cortes

DOI
https://doi.org/10.1109/ACCESS.2022.3168965
Journal volume & issue
Vol. 10
pp. 46028 – 46042

Abstract

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This paper presents the results of the comparative study of differential evolution algorithms used as an alternative for tuning the gains of a PD+ type visual control structure, since tuning PD or PID type control structures is not trivial. We made the quantitative comparison using the performance index ( $\mathcal {L}_{2}$ -norm) and we applied the algorithm of best performance in a case of study (detection and cutting of leaves using a Cartesian robot). We also present the stability analysis according to Lyapunov theory and experimental results.

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