Optimizing control strategies for DC-DC boost converters: Real-time application of an adaptive gain scheduled ISA-PI controller with hybrid state-space and linear parameter-varying modelling

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Özet

This paper introduces an innovative sophisticated control scheme for a DC-DC boost converter (DCBC), employing an adaptive gain scheduled ISA-PI controller. Addressing the inherent non-minimum phase behaviour arising from a right-half plane zero and the complexities associated with nonlinear dynamics during continuous conduction mode (CCM), the proposed adaptive gain scheduled ISA-PI controller incorporates the distinct adjustable parameter within the controller structure. This parameter is instrumental in enhancing the adaptability of the controller to varied operating conditions. The adaptive ISA-PI controller seamlessly integrates the real-time duty cycle value, replacing traditional tuning variables with precision. The dynamic adjustment of this sole controllable parameter is facilitated through a carefully designed look-up table, employing the loop-shaping method. Verification of the proposed control system’s effectiveness is conducted using MATLAB/Simulink, incorporating a comprehensive comparative analysis against single proportional integral (PI) controllers. The assessment centres on evaluating the system’s precision in tracking desired signals and regulating plant process variables with optimal efficiency, minimizing delays and overshoot. Experimental validation is further undertaken using MATLAB/Simulink/Stateflow on a dSPACE Real-time-interface (RTI) 1007 processor, DS2004 High-Speed A/D, and CP4002 Timing and Digital I/O boards. The experimental results confirm the superior performance of the proposed adaptive gain schedule ISA-PI controller, which has a unique configurable parameter. This controller demonstrated a twofold improvement in tracking speed and significantly improved disturbance rejection, confirming its effectiveness.

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dc.contributor.authorYanarateş, Cağfer
dc.date.accessioned2026-10-22T10:20:14.827639737Z
dc.date.available2026-10-22T10:20:14.827639737Z
dc.date.issued2025
dc.description.abstractThis paper introduces an innovative sophisticated control scheme for a DC-DC boost converter (DCBC), employing an adaptive gain scheduled ISA-PI controller. Addressing the inherent non-minimum phase behaviour arising from a right-half plane zero and the complexities associated with nonlinear dynamics during continuous conduction mode (CCM), the proposed adaptive gain scheduled ISA-PI controller incorporates the distinct adjustable parameter within the controller structure. This parameter is instrumental in enhancing the adaptability of the controller to varied operating conditions. The adaptive ISA-PI controller seamlessly integrates the real-time duty cycle value, replacing traditional tuning variables with precision. The dynamic adjustment of this sole controllable parameter is facilitated through a carefully designed look-up table, employing the loop-shaping method. Verification of the proposed control system’s effectiveness is conducted using MATLAB/Simulink, incorporating a comprehensive comparative analysis against single proportional integral (PI) controllers. The assessment centres on evaluating the system’s precision in tracking desired signals and regulating plant process variables with optimal efficiency, minimizing delays and overshoot. Experimental validation is further undertaken using MATLAB/Simulink/Stateflow on a dSPACE Real-time-interface (RTI) 1007 processor, DS2004 High-Speed A/D, and CP4002 Timing and Digital I/O boards. The experimental results confirm the superior performance of the proposed adaptive gain schedule ISA-PI controller, which has a unique configurable parameter. This controller demonstrated a twofold improvement in tracking speed and significantly improved disturbance rejection, confirming its effectiveness.
dc.identifier.articlenumbere0325969
dc.identifier.doi10.1371/journal.pone.0325969
dc.identifier.eissn1932-6203
dc.identifier.issn1932-6203
dc.identifier.issue7 July
dc.identifier.pmid40632793
dc.identifier.scopus2-s2.0-105010048153
dc.identifier.startpagee0325969
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/12546
dc.identifier.volume20
dc.identifier.wosWOS:001525730800015
dc.language.isoen
dc.publisherPublic Library of Science
dc.relation.ispartofPLOS ONE
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.classificationMultidisciplinary Sciences
dc.subject.classificationScience & Technology - Other Topics
dc.subject.otherAlgorithms
dc.subject.otherLinear Models
dc.subject.otherModels, Theoretical
dc.subject.otheradaptive algorithm
dc.subject.otherArticle
dc.subject.otherbehavior
dc.subject.othercomparative study
dc.subject.othercontrol system
dc.subject.otherdynamics
dc.subject.otherelectric potential
dc.subject.otherfeedback system
dc.subject.otherincorporating a comprehensive comparative analysis
dc.subject.otherlinear system
dc.subject.othernonlinear system
dc.subject.othertime
dc.subject.otheralgorithm
dc.subject.otherstatistical model
dc.subject.othertheoretical model
dc.titleOptimizing control strategies for DC-DC boost converters: Real-time application of an adaptive gain scheduled ISA-PI controller with hybrid state-space and linear parameter-varying modelling
dc.typeArticle
rdl.citation.openalex4
rdl.citation.scopus7
rdl.citation.wos6
rdl.departmentDepartment of Electrical and Energy, Kelkit Aydın Doğan Vocational School, Gümüşhane University, Gümüşhane, Turkey
rdl.oa.statusgold
rdl.oa.urlhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0325969&type=printable
rdl.scopus.quartileQ1
rdl.sdgSDG09
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.source.indexPUBMED
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)