Application of Fuzzy Immune Algorithm and Soft Computing in the Design of 2-DOF PID Controller
To solve the difficulty in selecting the crossover probability and mutation probability in genetic algorithms, a fuzzy immune algorithm based on adaptive estimation of crossover probability and mutation probability in a fuzzy reasoning system is proposed, and it is used in the parameter optimization...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2022/5608054 |
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| _version_ | 1832563485034151936 |
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| author | Ning Ding Priti Prabhakar Anita Khosla Vishal Jagota Edwin Ramirez-Asis Bhupesh Kumar Singh |
| author_facet | Ning Ding Priti Prabhakar Anita Khosla Vishal Jagota Edwin Ramirez-Asis Bhupesh Kumar Singh |
| author_sort | Ning Ding |
| collection | DOAJ |
| description | To solve the difficulty in selecting the crossover probability and mutation probability in genetic algorithms, a fuzzy immune algorithm based on adaptive estimation of crossover probability and mutation probability in a fuzzy reasoning system is proposed, and it is used in the parameter optimization design of a two-degree-of-freedom PID controller. According to the experiment and simulation results, classic genetic algorithm evolution tends to halt after 37 generations, with a fitness value of 7.135, whereas fuzzy genetic algorithm evolution tends to stop after 20 generations, with a fitness value of 7.486. The 2-DOF PID controller that was created can give the system strong target value following and interference suppression features at the same time. |
| format | Article |
| id | doaj-art-457c9421d45442f9879a241d95db626a |
| institution | Kabale University |
| issn | 1607-887X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-457c9421d45442f9879a241d95db626a2025-02-03T01:20:01ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/5608054Application of Fuzzy Immune Algorithm and Soft Computing in the Design of 2-DOF PID ControllerNing Ding0Priti Prabhakar1Anita Khosla2Vishal Jagota3Edwin Ramirez-Asis4Bhupesh Kumar Singh5School of Artificial IntelligenceElectrical Engineering DepartmentEEE DepartmentDepartment of Mechanical EngineeringUniversidad Nacional Santiago Antunez de MayoloArba Minch Institute of TechnologyTo solve the difficulty in selecting the crossover probability and mutation probability in genetic algorithms, a fuzzy immune algorithm based on adaptive estimation of crossover probability and mutation probability in a fuzzy reasoning system is proposed, and it is used in the parameter optimization design of a two-degree-of-freedom PID controller. According to the experiment and simulation results, classic genetic algorithm evolution tends to halt after 37 generations, with a fitness value of 7.135, whereas fuzzy genetic algorithm evolution tends to stop after 20 generations, with a fitness value of 7.486. The 2-DOF PID controller that was created can give the system strong target value following and interference suppression features at the same time.http://dx.doi.org/10.1155/2022/5608054 |
| spellingShingle | Ning Ding Priti Prabhakar Anita Khosla Vishal Jagota Edwin Ramirez-Asis Bhupesh Kumar Singh Application of Fuzzy Immune Algorithm and Soft Computing in the Design of 2-DOF PID Controller Discrete Dynamics in Nature and Society |
| title | Application of Fuzzy Immune Algorithm and Soft Computing in the Design of 2-DOF PID Controller |
| title_full | Application of Fuzzy Immune Algorithm and Soft Computing in the Design of 2-DOF PID Controller |
| title_fullStr | Application of Fuzzy Immune Algorithm and Soft Computing in the Design of 2-DOF PID Controller |
| title_full_unstemmed | Application of Fuzzy Immune Algorithm and Soft Computing in the Design of 2-DOF PID Controller |
| title_short | Application of Fuzzy Immune Algorithm and Soft Computing in the Design of 2-DOF PID Controller |
| title_sort | application of fuzzy immune algorithm and soft computing in the design of 2 dof pid controller |
| url | http://dx.doi.org/10.1155/2022/5608054 |
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