A PID Parameter Tuning Method Based on the Improved QUATRE Algorithm
The PID (proportional–integral–derivative) controller is the most widely used control method in modern engineering control because it has the characteristics of a simple algorithm structure and easy implementation. The traditional PID controller, in the face of complex control objects, has been unab...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Algorithms |
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| Online Access: | https://www.mdpi.com/1999-4893/14/6/173 |
| _version_ | 1797531856106684416 |
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| author | Zhuo-Qiang Zhao Shi-Jian Liu Jeng-Shyang Pan |
| author_facet | Zhuo-Qiang Zhao Shi-Jian Liu Jeng-Shyang Pan |
| author_sort | Zhuo-Qiang Zhao |
| collection | DOAJ |
| description | The PID (proportional–integral–derivative) controller is the most widely used control method in modern engineering control because it has the characteristics of a simple algorithm structure and easy implementation. The traditional PID controller, in the face of complex control objects, has been unable to meet the expected requirements. The emergence of the intelligent algorithm makes intelligent control widely usable. The Quasi-Affine Transformation Evolutionary (QUATRE) algorithm is a new evolutionary algorithm. Compared with other intelligent algorithms, the QUATRE algorithm has a strong global search ability. To improve the accuracy of the algorithm, the adaptive mechanism of online adjusting control parameters was introduced and the linear population reduction strategy was adopted to improve the performance of the algorithm. The standard QUATRE algorithm, particle swarm optimization algorithm and improved QUATRE algorithm were tested by the test function. The experimental results verify the advantages of the improved QUATRE algorithm. The improved QUATRE algorithm was combined with PID parameters, and the simulation results were compared with the PID parameter tuning method based on the particle swarm optimization algorithm and standard QUATRE algorithm. From the experimental results, the control effect of the improved QUATRE algorithm is more effective. |
| first_indexed | 2024-03-10T10:49:43Z |
| format | Article |
| id | doaj.art-6084ce3005e04370a6f38e1271cb82d6 |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-03-10T10:49:43Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-6084ce3005e04370a6f38e1271cb82d62023-11-21T22:17:27ZengMDPI AGAlgorithms1999-48932021-05-0114617310.3390/a14060173A PID Parameter Tuning Method Based on the Improved QUATRE AlgorithmZhuo-Qiang Zhao0Shi-Jian Liu1Jeng-Shyang Pan2Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou 350118, ChinaInstitute of Artificial Intelligence, Fujian University of Technology, Fuzhou 350118, ChinaFujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou 350118, ChinaThe PID (proportional–integral–derivative) controller is the most widely used control method in modern engineering control because it has the characteristics of a simple algorithm structure and easy implementation. The traditional PID controller, in the face of complex control objects, has been unable to meet the expected requirements. The emergence of the intelligent algorithm makes intelligent control widely usable. The Quasi-Affine Transformation Evolutionary (QUATRE) algorithm is a new evolutionary algorithm. Compared with other intelligent algorithms, the QUATRE algorithm has a strong global search ability. To improve the accuracy of the algorithm, the adaptive mechanism of online adjusting control parameters was introduced and the linear population reduction strategy was adopted to improve the performance of the algorithm. The standard QUATRE algorithm, particle swarm optimization algorithm and improved QUATRE algorithm were tested by the test function. The experimental results verify the advantages of the improved QUATRE algorithm. The improved QUATRE algorithm was combined with PID parameters, and the simulation results were compared with the PID parameter tuning method based on the particle swarm optimization algorithm and standard QUATRE algorithm. From the experimental results, the control effect of the improved QUATRE algorithm is more effective.https://www.mdpi.com/1999-4893/14/6/173QUATRE algorithmparticle swarm optimizationPID controloptimization algorithm |
| spellingShingle | Zhuo-Qiang Zhao Shi-Jian Liu Jeng-Shyang Pan A PID Parameter Tuning Method Based on the Improved QUATRE Algorithm Algorithms QUATRE algorithm particle swarm optimization PID control optimization algorithm |
| title | A PID Parameter Tuning Method Based on the Improved QUATRE Algorithm |
| title_full | A PID Parameter Tuning Method Based on the Improved QUATRE Algorithm |
| title_fullStr | A PID Parameter Tuning Method Based on the Improved QUATRE Algorithm |
| title_full_unstemmed | A PID Parameter Tuning Method Based on the Improved QUATRE Algorithm |
| title_short | A PID Parameter Tuning Method Based on the Improved QUATRE Algorithm |
| title_sort | pid parameter tuning method based on the improved quatre algorithm |
| topic | QUATRE algorithm particle swarm optimization PID control optimization algorithm |
| url | https://www.mdpi.com/1999-4893/14/6/173 |
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