Determination of Different Types of Controller Parameters Using Metaheuristic Optimization Algorithms for Buck Converter Systems
The steady-state operation with low error and the fast dynamic response in transient of the DC-DC converter circuits depend on the controller design. The performance of the controller used in DC-DC converters, which vary the level of DC voltage depends on the controller coefficients. Although classi...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9973239/ |
| _version_ | 1811293843991035904 |
|---|---|
| author | Evren Isen |
| author_facet | Evren Isen |
| author_sort | Evren Isen |
| collection | DOAJ |
| description | The steady-state operation with low error and the fast dynamic response in transient of the DC-DC converter circuits depend on the controller design. The performance of the controller used in DC-DC converters, which vary the level of DC voltage depends on the controller coefficients. Although classical methods are often used to determine these coefficients in controller design, various modern optimization methods have been recently used. In this study, the DC-DC buck converter control simulation is performed with FOPID, PID and TID controllers. Aquila Optimizer, African Vultures Optimization Algorithm and Hunger Games Search optimization algorithms are used to determine the coefficients of these controllers in the literature. However, Fitness-Distance Balance Based Runge Kutta is employed first time for PID controller in buck converter in this study. The performance indices integral absolute error, integral square error, integral time absolute error, and integral time squared error are employed to assess the outcomes. When the results obtained are examined, the FOPID controller gives the best results in the control of the buck converter. These results are obtained by using the coefficients determined by the Fitness-Distance Balance Based Runge Kutta (FDBRUN) optimization algorithm. It has better performance than the other algorithms. |
| first_indexed | 2024-04-13T05:08:36Z |
| format | Article |
| id | doaj.art-c46674c89ecb43fa8c0370154366dbd0 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-13T05:08:36Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-c46674c89ecb43fa8c0370154366dbd02022-12-22T03:01:07ZengIEEEIEEE Access2169-35362022-01-011012798412799510.1109/ACCESS.2022.32273479973239Determination of Different Types of Controller Parameters Using Metaheuristic Optimization Algorithms for Buck Converter SystemsEvren Isen0https://orcid.org/0000-0002-3107-9255Faculty of Electrical Engineering, Engineering and Natural Sciences, Bandirma Onyedi Eylul University, Bandirma, Balikesir, TurkeyThe steady-state operation with low error and the fast dynamic response in transient of the DC-DC converter circuits depend on the controller design. The performance of the controller used in DC-DC converters, which vary the level of DC voltage depends on the controller coefficients. Although classical methods are often used to determine these coefficients in controller design, various modern optimization methods have been recently used. In this study, the DC-DC buck converter control simulation is performed with FOPID, PID and TID controllers. Aquila Optimizer, African Vultures Optimization Algorithm and Hunger Games Search optimization algorithms are used to determine the coefficients of these controllers in the literature. However, Fitness-Distance Balance Based Runge Kutta is employed first time for PID controller in buck converter in this study. The performance indices integral absolute error, integral square error, integral time absolute error, and integral time squared error are employed to assess the outcomes. When the results obtained are examined, the FOPID controller gives the best results in the control of the buck converter. These results are obtained by using the coefficients determined by the Fitness-Distance Balance Based Runge Kutta (FDBRUN) optimization algorithm. It has better performance than the other algorithms.https://ieeexplore.ieee.org/document/9973239/Fractional-order PID controllerbuck converteroptimization techniques |
| spellingShingle | Evren Isen Determination of Different Types of Controller Parameters Using Metaheuristic Optimization Algorithms for Buck Converter Systems IEEE Access Fractional-order PID controller buck converter optimization techniques |
| title | Determination of Different Types of Controller Parameters Using Metaheuristic Optimization Algorithms for Buck Converter Systems |
| title_full | Determination of Different Types of Controller Parameters Using Metaheuristic Optimization Algorithms for Buck Converter Systems |
| title_fullStr | Determination of Different Types of Controller Parameters Using Metaheuristic Optimization Algorithms for Buck Converter Systems |
| title_full_unstemmed | Determination of Different Types of Controller Parameters Using Metaheuristic Optimization Algorithms for Buck Converter Systems |
| title_short | Determination of Different Types of Controller Parameters Using Metaheuristic Optimization Algorithms for Buck Converter Systems |
| title_sort | determination of different types of controller parameters using metaheuristic optimization algorithms for buck converter systems |
| topic | Fractional-order PID controller buck converter optimization techniques |
| url | https://ieeexplore.ieee.org/document/9973239/ |
| work_keys_str_mv | AT evrenisen determinationofdifferenttypesofcontrollerparametersusingmetaheuristicoptimizationalgorithmsforbuckconvertersystems |