Application of Multiobjective Optimization Based on Modified SPEA2 Method for Tuning FOPID plus Second-Order Derivative Controller in Hydraulic Turbine Governing System
The controller design and parameter tuning of the hydraulic turbine governing system are critical for ensuring stability and safety of operation. In this study, we propose a novel design of fractional-order PID plus second-order derivative (FOPID2D) controller design for the HTGS system. In addition...
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2024/4217192 |
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| author | Tian Tian Qiang Huang Jinhua Lv Mo Zhou Jian Tang |
| author_facet | Tian Tian Qiang Huang Jinhua Lv Mo Zhou Jian Tang |
| author_sort | Tian Tian |
| collection | DOAJ |
| description | The controller design and parameter tuning of the hydraulic turbine governing system are critical for ensuring stability and safety of operation. In this study, we propose a novel design of fractional-order PID plus second-order derivative (FOPID2D) controller design for the HTGS system. In addition, we develop a modified strength Pareto evolutionary algorithm II (MSPEA2) to optimize the design parameters with multiple objectives. By combining fractional calculus and second-order derivative, the FOPID2D controller offers enhanced control flexibility compared to conventional PID controller. To achieve the Pareto-front, we employ the proposed MSPEA2 method as an optimizer, which is further improved using a Uniform–Cauchy–Gaussian hybrid mutation strategy. We demonstrate its numerical quality and diversity superiority over the conventional method through test function results. The designed FOPID2D controller, along with PID, fractional-order PID, and PID plus second-order derivative controllers, is employed in the load disturbance experiments of the hydraulic turbine governing system. Consequently, the control effect of the proposed FOPID2D controller is validated by comparison with other controllers. |
| format | Article |
| id | doaj-art-b635457461d841778853e03bfaa6ee4b |
| institution | Kabale University |
| issn | 2090-0155 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-b635457461d841778853e03bfaa6ee4b2025-02-03T01:30:22ZengWileyJournal of Electrical and Computer Engineering2090-01552024-01-01202410.1155/2024/4217192Application of Multiobjective Optimization Based on Modified SPEA2 Method for Tuning FOPID plus Second-Order Derivative Controller in Hydraulic Turbine Governing SystemTian Tian0Qiang Huang1Jinhua Lv2Mo Zhou3Jian Tang4College of Electrical and Electronic EngineeringChina Construction Third Engineering Bureau Group Co., Ltd.College of Electrical and Electronic EngineeringCollege of Electrical and Electronic EngineeringCollege of Electrical and Electronic EngineeringThe controller design and parameter tuning of the hydraulic turbine governing system are critical for ensuring stability and safety of operation. In this study, we propose a novel design of fractional-order PID plus second-order derivative (FOPID2D) controller design for the HTGS system. In addition, we develop a modified strength Pareto evolutionary algorithm II (MSPEA2) to optimize the design parameters with multiple objectives. By combining fractional calculus and second-order derivative, the FOPID2D controller offers enhanced control flexibility compared to conventional PID controller. To achieve the Pareto-front, we employ the proposed MSPEA2 method as an optimizer, which is further improved using a Uniform–Cauchy–Gaussian hybrid mutation strategy. We demonstrate its numerical quality and diversity superiority over the conventional method through test function results. The designed FOPID2D controller, along with PID, fractional-order PID, and PID plus second-order derivative controllers, is employed in the load disturbance experiments of the hydraulic turbine governing system. Consequently, the control effect of the proposed FOPID2D controller is validated by comparison with other controllers.http://dx.doi.org/10.1155/2024/4217192 |
| spellingShingle | Tian Tian Qiang Huang Jinhua Lv Mo Zhou Jian Tang Application of Multiobjective Optimization Based on Modified SPEA2 Method for Tuning FOPID plus Second-Order Derivative Controller in Hydraulic Turbine Governing System Journal of Electrical and Computer Engineering |
| title | Application of Multiobjective Optimization Based on Modified SPEA2 Method for Tuning FOPID plus Second-Order Derivative Controller in Hydraulic Turbine Governing System |
| title_full | Application of Multiobjective Optimization Based on Modified SPEA2 Method for Tuning FOPID plus Second-Order Derivative Controller in Hydraulic Turbine Governing System |
| title_fullStr | Application of Multiobjective Optimization Based on Modified SPEA2 Method for Tuning FOPID plus Second-Order Derivative Controller in Hydraulic Turbine Governing System |
| title_full_unstemmed | Application of Multiobjective Optimization Based on Modified SPEA2 Method for Tuning FOPID plus Second-Order Derivative Controller in Hydraulic Turbine Governing System |
| title_short | Application of Multiobjective Optimization Based on Modified SPEA2 Method for Tuning FOPID plus Second-Order Derivative Controller in Hydraulic Turbine Governing System |
| title_sort | application of multiobjective optimization based on modified spea2 method for tuning fopid plus second order derivative controller in hydraulic turbine governing system |
| url | http://dx.doi.org/10.1155/2024/4217192 |
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