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

delete2025-08-22
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PRE
AI
R
Rafał Szczepański *
K
Krystian Erwiński
T
Tomasz Tarczewski
DOI：10.3390-asi8030079delete
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Abstract

Abstract

En 中文
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.
Keywords:
nature-inspired optimization
control system design
parameter selection
multi-objective optimization
hysteresis controller
PI controller

Journal

Applied System Innovation cover
Applied System Innovation
IF:
3.7
Papers:
954
Citations:
1.9K

Organization

No organization information available