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

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التفاصيل البيبلوغرافية
الحاوية / القاعدة:	Applied System Innovation vol. 8, no. 3 (2025), p. 79
المؤلف الرئيسي:	Szczepanski Rafal
مؤلفون آخرون:	Erwinski Krystian, Tarczewski Tomasz
منشور في:	MDPI AG
الموضوعات:	Fines & penalties Algorithms Multiple objective analysis Feedback Optimization algorithms Parameters Optimization Business metrics Controllers
الوصول للمادة أونلاين:	Citation/Abstract Full Text + Graphics Full Text - PDF
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

الوصف
مستخلص:	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.
تدمد:	2571-5577
DOI:	10.3390/asi8030079
المصدر:	Advanced Technologies & Aerospace Database