Michel W. de S. Campos;Edmilson M. Prado;Renan L. P. De Medeiros;Maurício P. Fantesia;Werbeston D. De Oliveira;Venicio C. Conceição;Iago V. Correa;Ozenir F. da R. Dias;Florindo A. de C. Ayres Júnior
{"title":"应用于DC-DC降压变换器的分数阶模糊pid混合控制器的研制","authors":"Michel W. de S. Campos;Edmilson M. Prado;Renan L. P. De Medeiros;Maurício P. Fantesia;Werbeston D. De Oliveira;Venicio C. Conceição;Iago V. Correa;Ozenir F. da R. Dias;Florindo A. de C. Ayres Júnior","doi":"10.1109/TCSII.2025.3585464","DOIUrl":null,"url":null,"abstract":"This brief focuses on developing a hybrid fractional-order PID (FOPID) controller enhanced with fuzzy logic to regulate the output voltage of a DC-DC Buck converter. The FOPID controller extends traditional PID control by offering improved robustness and more flexible tuning criteria. The controller’s gains are dynamically adjusted using fuzzy logic, enhancing performance across varying operating conditions. The project involved mathematical modeling of the Buck converter and approximating fractional-order operators to integer-order equivalents. Frequency domain analysis was performed using computational tools, including MATLAB, Simulink, and LTspice, to design and simulate the control system. A physical Buck converter was assembled to validate the controller’s experimental performance. The system’s non-linearities were characterized to optimize the hybrid controller, and the best tuning parameters were identified for three distinct operating regions. The experimental results were compared with simulation data, demonstrating the hybrid controller’s enhanced performance in closed-loop operation. The study concludes that the proposed approach outperforms conventional tuning methods, showcasing its potential for advanced industrial control systems.","PeriodicalId":13101,"journal":{"name":"IEEE Transactions on Circuits and Systems II: Express Briefs","volume":"72 9","pages":"1218-1222"},"PeriodicalIF":4.9000,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of a Hybrid Fractional-Order Fuzzy-PID Controller Applied to a DC-DC Buck Converter\",\"authors\":\"Michel W. de S. Campos;Edmilson M. Prado;Renan L. P. De Medeiros;Maurício P. Fantesia;Werbeston D. De Oliveira;Venicio C. Conceição;Iago V. Correa;Ozenir F. da R. Dias;Florindo A. de C. Ayres Júnior\",\"doi\":\"10.1109/TCSII.2025.3585464\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This brief focuses on developing a hybrid fractional-order PID (FOPID) controller enhanced with fuzzy logic to regulate the output voltage of a DC-DC Buck converter. The FOPID controller extends traditional PID control by offering improved robustness and more flexible tuning criteria. The controller’s gains are dynamically adjusted using fuzzy logic, enhancing performance across varying operating conditions. The project involved mathematical modeling of the Buck converter and approximating fractional-order operators to integer-order equivalents. Frequency domain analysis was performed using computational tools, including MATLAB, Simulink, and LTspice, to design and simulate the control system. A physical Buck converter was assembled to validate the controller’s experimental performance. The system’s non-linearities were characterized to optimize the hybrid controller, and the best tuning parameters were identified for three distinct operating regions. The experimental results were compared with simulation data, demonstrating the hybrid controller’s enhanced performance in closed-loop operation. The study concludes that the proposed approach outperforms conventional tuning methods, showcasing its potential for advanced industrial control systems.\",\"PeriodicalId\":13101,\"journal\":{\"name\":\"IEEE Transactions on Circuits and Systems II: Express Briefs\",\"volume\":\"72 9\",\"pages\":\"1218-1222\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2025-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Circuits and Systems II: Express Briefs\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11063392/\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Circuits and Systems II: Express Briefs","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11063392/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Development of a Hybrid Fractional-Order Fuzzy-PID Controller Applied to a DC-DC Buck Converter
This brief focuses on developing a hybrid fractional-order PID (FOPID) controller enhanced with fuzzy logic to regulate the output voltage of a DC-DC Buck converter. The FOPID controller extends traditional PID control by offering improved robustness and more flexible tuning criteria. The controller’s gains are dynamically adjusted using fuzzy logic, enhancing performance across varying operating conditions. The project involved mathematical modeling of the Buck converter and approximating fractional-order operators to integer-order equivalents. Frequency domain analysis was performed using computational tools, including MATLAB, Simulink, and LTspice, to design and simulate the control system. A physical Buck converter was assembled to validate the controller’s experimental performance. The system’s non-linearities were characterized to optimize the hybrid controller, and the best tuning parameters were identified for three distinct operating regions. The experimental results were compared with simulation data, demonstrating the hybrid controller’s enhanced performance in closed-loop operation. The study concludes that the proposed approach outperforms conventional tuning methods, showcasing its potential for advanced industrial control systems.
期刊介绍:
TCAS II publishes brief papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes:
Circuits: Analog, Digital and Mixed Signal Circuits and Systems
Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic
Circuits and Systems, Power Electronics and Systems
Software for Analog-and-Logic Circuits and Systems
Control aspects of Circuits and Systems.