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Objective Function Formulation to Optimize Control Structure Parameters Using Nature-Inspired Optimization Algorithms

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Pubblicato in:Applied System Innovation vol. 8, no. 3 (2025), p. 79
Autore principale: Szczepanski Rafal
Altri autori: Erwinski Krystian, Tarczewski Tomasz
Pubblicazione:
MDPI AG
Soggetti:
Fines & penalties
Algorithms
Multiple objective analysis
Feedback
Optimization algorithms
Parameters
Optimization
Business metrics
Controllers
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Abstract:This paper uses a nature-inspired optimization algorithm to discuss the automatic selection of control structure parameters. The commonly used quality indicators are presented and analyzed for the optimization process of the control system. Moreover, the possibilities of formulating objective functions for nature-inspired optimization algorithms that can be successfully used to solve multi-objective constrained optimization problems are presented. The proposed general methodology was presented and discussed in detail using an example, which is published in the open-source repository Mathwork FileExchange. Theoretical aspects are validated in the case studies for automatic tuning of the hysteresis and PI controller.
ISSN:2571-5577
DOI:10.3390/asi8030079
Fonte:Advanced Technologies & Aerospace Database