Genetically Optimized Pitch Angle Controller of a Wind Turbine with Fuzzy Logic Design Approach
An important engineering challenge is the design of a wind turbine’s pitch angle controller. The dependability, safety, and power output maximization of a wind turbine are all impacted by this controller. In this study, a 2 MW doubly fed induction generator wind turbine’s blade angle controller desi...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-09-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/18/6705 |
| _version_ | 1797488885204254720 |
|---|---|
| author | Ahmet Selim Pehlivan Beste Bahceci Kemalettin Erbatur |
| author_facet | Ahmet Selim Pehlivan Beste Bahceci Kemalettin Erbatur |
| author_sort | Ahmet Selim Pehlivan |
| collection | DOAJ |
| description | An important engineering challenge is the design of a wind turbine’s pitch angle controller. The dependability, safety, and power output maximization of a wind turbine are all impacted by this controller. In this study, a 2 MW doubly fed induction generator wind turbine’s blade angle controller design with a novel fuzzy logic controller is tested in a simulated environment. The evolutionary algorithm technique is used to optimize the fuzzy logic controller with three inputs. A genetic algorithm is used to optimize the specified pitch angle controller for a number of coefficients. After the optimization process, the controller’s performance is assessed in terms of power output, overshoot, and steady-state error characteristics. |
| first_indexed | 2024-03-10T00:08:41Z |
| format | Article |
| id | doaj.art-f6c547c7ee64453a84fb5cc9ffbafd41 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T00:08:41Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-f6c547c7ee64453a84fb5cc9ffbafd412023-11-23T16:04:24ZengMDPI AGEnergies1996-10732022-09-011518670510.3390/en15186705Genetically Optimized Pitch Angle Controller of a Wind Turbine with Fuzzy Logic Design ApproachAhmet Selim Pehlivan0Beste Bahceci1Kemalettin Erbatur2Mechatronics Engineering, Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, TurkeyMechatronics Engineering, Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, TurkeyMechatronics Engineering, Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, TurkeyAn important engineering challenge is the design of a wind turbine’s pitch angle controller. The dependability, safety, and power output maximization of a wind turbine are all impacted by this controller. In this study, a 2 MW doubly fed induction generator wind turbine’s blade angle controller design with a novel fuzzy logic controller is tested in a simulated environment. The evolutionary algorithm technique is used to optimize the fuzzy logic controller with three inputs. A genetic algorithm is used to optimize the specified pitch angle controller for a number of coefficients. After the optimization process, the controller’s performance is assessed in terms of power output, overshoot, and steady-state error characteristics.https://www.mdpi.com/1996-1073/15/18/6705wind energywind turbinepitch angle controllergenetic algorithm optimizationfuzzy logic |
| spellingShingle | Ahmet Selim Pehlivan Beste Bahceci Kemalettin Erbatur Genetically Optimized Pitch Angle Controller of a Wind Turbine with Fuzzy Logic Design Approach Energies wind energy wind turbine pitch angle controller genetic algorithm optimization fuzzy logic |
| title | Genetically Optimized Pitch Angle Controller of a Wind Turbine with Fuzzy Logic Design Approach |
| title_full | Genetically Optimized Pitch Angle Controller of a Wind Turbine with Fuzzy Logic Design Approach |
| title_fullStr | Genetically Optimized Pitch Angle Controller of a Wind Turbine with Fuzzy Logic Design Approach |
| title_full_unstemmed | Genetically Optimized Pitch Angle Controller of a Wind Turbine with Fuzzy Logic Design Approach |
| title_short | Genetically Optimized Pitch Angle Controller of a Wind Turbine with Fuzzy Logic Design Approach |
| title_sort | genetically optimized pitch angle controller of a wind turbine with fuzzy logic design approach |
| topic | wind energy wind turbine pitch angle controller genetic algorithm optimization fuzzy logic |
| url | https://www.mdpi.com/1996-1073/15/18/6705 |
| work_keys_str_mv | AT ahmetselimpehlivan geneticallyoptimizedpitchanglecontrollerofawindturbinewithfuzzylogicdesignapproach AT bestebahceci geneticallyoptimizedpitchanglecontrollerofawindturbinewithfuzzylogicdesignapproach AT kemalettinerbatur geneticallyoptimizedpitchanglecontrollerofawindturbinewithfuzzylogicdesignapproach |