Research on Automatic Train Operation System Based on Fuzzy Adaptive PID Algorithm
The traditional PID algorithm used in the currently existing automatic train operation system is limited due to fixed parameters, making it difficult to achieve excellent control effects in actual operation scenes featuring strong coupling and high nonlinearity, which is mainly attributed to difficu...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Control and Information Technology
2023-06-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2023.03.004 |
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| _version_ | 1849224991192645632 |
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| author | ZHOU Ruilin LEI Chengjian LIU Ze SU Huiliang |
| author_facet | ZHOU Ruilin LEI Chengjian LIU Ze SU Huiliang |
| author_sort | ZHOU Ruilin |
| collection | DOAJ |
| description | The traditional PID algorithm used in the currently existing automatic train operation system is limited due to fixed parameters, making it difficult to achieve excellent control effects in actual operation scenes featuring strong coupling and high nonlinearity, which is mainly attributed to difficulties in overcoming nonlinear disturbances.In light of this, this paper proposes an automatic train operation approach that relies on a fuzzy adaptive PID algorithm, which can adjust the PID parameters in real time according to the preset fuzzy rules, thus improving the PID controller's performance in speed tracking and leading to an improved train control effect. Based on the data from Changsha Rail Transit Line 4, the semi-physical simulation results show that the proposed algorithm resulted in the average root-mean-square error (RMSE) of 18.876 cm/s between the actual train speed and the recommended speed, which is less than the 35.200 cm/s of the traditional PID controller and the value of fitting degree is 1.69 m/s between travel speed and the recommended speed, which is less than the 2.25 m/s of the traditional PID controller, suggesting that the proposed algorithm offers a more effective solution for tracking the recommended speed curves and improving system operation efficiency. |
| format | Article |
| id | doaj-art-e90ca16b95fb471d8e45055698a4d6cc |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2023-06-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-e90ca16b95fb471d8e45055698a4d6cc2025-08-25T06:48:26ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272023-06-01343839334732Research on Automatic Train Operation System Based on Fuzzy Adaptive PID AlgorithmZHOU RuilinLEI ChengjianLIU ZeSU HuiliangThe traditional PID algorithm used in the currently existing automatic train operation system is limited due to fixed parameters, making it difficult to achieve excellent control effects in actual operation scenes featuring strong coupling and high nonlinearity, which is mainly attributed to difficulties in overcoming nonlinear disturbances.In light of this, this paper proposes an automatic train operation approach that relies on a fuzzy adaptive PID algorithm, which can adjust the PID parameters in real time according to the preset fuzzy rules, thus improving the PID controller's performance in speed tracking and leading to an improved train control effect. Based on the data from Changsha Rail Transit Line 4, the semi-physical simulation results show that the proposed algorithm resulted in the average root-mean-square error (RMSE) of 18.876 cm/s between the actual train speed and the recommended speed, which is less than the 35.200 cm/s of the traditional PID controller and the value of fitting degree is 1.69 m/s between travel speed and the recommended speed, which is less than the 2.25 m/s of the traditional PID controller, suggesting that the proposed algorithm offers a more effective solution for tracking the recommended speed curves and improving system operation efficiency.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2023.03.004automatic train operation systemPID algorithmfuzzy adaptive PID algorithmfuzzy rulesrecommended speed |
| spellingShingle | ZHOU Ruilin LEI Chengjian LIU Ze SU Huiliang Research on Automatic Train Operation System Based on Fuzzy Adaptive PID Algorithm Kongzhi Yu Xinxi Jishu automatic train operation system PID algorithm fuzzy adaptive PID algorithm fuzzy rules recommended speed |
| title | Research on Automatic Train Operation System Based on Fuzzy Adaptive PID Algorithm |
| title_full | Research on Automatic Train Operation System Based on Fuzzy Adaptive PID Algorithm |
| title_fullStr | Research on Automatic Train Operation System Based on Fuzzy Adaptive PID Algorithm |
| title_full_unstemmed | Research on Automatic Train Operation System Based on Fuzzy Adaptive PID Algorithm |
| title_short | Research on Automatic Train Operation System Based on Fuzzy Adaptive PID Algorithm |
| title_sort | research on automatic train operation system based on fuzzy adaptive pid algorithm |
| topic | automatic train operation system PID algorithm fuzzy adaptive PID algorithm fuzzy rules recommended speed |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2023.03.004 |
| work_keys_str_mv | AT zhouruilin researchonautomatictrainoperationsystembasedonfuzzyadaptivepidalgorithm AT leichengjian researchonautomatictrainoperationsystembasedonfuzzyadaptivepidalgorithm AT liuze researchonautomatictrainoperationsystembasedonfuzzyadaptivepidalgorithm AT suhuiliang researchonautomatictrainoperationsystembasedonfuzzyadaptivepidalgorithm |