Prudent-Daring vs tolerant survivor selection schemes in control design of electric drives

Authors:
Ferrante Neri;Giuseppe L. Cascella;Nadia Salvatore;Anna V. Kononova;Giuseppe Acciani
Affiliations:
Dipatimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy;Dipatimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy;Dipatimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy;Laboratory of Theoretical Probabilistic Methods, Yaroslavl’ State University, Yaroslavl’, Russia;Dipatimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy
Venue:
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
Year:
2006

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Abstract

This paper proposes and compares two approaches to defeat the noise due the measurement errors in control system design of electric drives. The former is based on a penalized fitness and two cooperative-competitive survivor selection schemes, the latter is based on a survivor selection scheme which makes use of the tolerance interval related to the noise distribution. These approaches use adaptive rules in parameter setting to execute both the explicit and the implicit averaging in order to obtain the noise defeating in the optimization process with a relatively low number of fitness evaluations. The results show that the two approaches differently bias the population diversity and that the first can outperform the second but requires a more accurate parameter setting.