FPGA–implementation of PID-controller by differential evolution optimization

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Abstract: We will describe an FPGA implementation of PID-controller that uses differential evolution to optimize the coefficients of the PID controller, which has been implemented in VHDL. The original differential evolution algorithm was improved by ranking based mutation operation and self-adaptation of mutation and crossover parameters. Ranking-based mutation operation improves the quality of solution, convergence rate and success of optimization. Due to the self-adaptive control parameters, the user does not have to estimate the mutation and crossover rates. Optimization have been performed by calculating for each generation fitness value by means of trial parameters. The final optimal parameters are selected based on the minimum fitness.

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: FPGA–implementation of PID-controller by differential evolution optimization ; volume:8 ; number:1 ; year:2018 ; pages:395-402 ; extent:8
Open engineering ; 8, Heft 1 (2018), 395-402 (gesamt 8)

Creator: Hanhila, Mika
Mantere, Timo
T. Alander, Jarmo

DOI: 10.1515/eng-2018-0038

URN: urn:nbn:de:101:1-2412141628130.393998368362

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:23 AM CEST

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Hanhila, Mika
Mantere, Timo
T. Alander, Jarmo

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FPGA–implementation of PID-controller by differential evolution optimization

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