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| Speed Chain Control of Medium and High Speed Fourdrinier Paper Machine Based on Improved ACO Algorithm |
| Received:June 21, 2019 |
| DOI：10.11980/j.issn.0254-508X.2019.11.007 |
| Key Words:medium and high speed fourdrinier paper machine speed chain control improved ant colony algorithm PID parameter optimization |
| Fund Project:陕西省科技统筹创新工程计划项目
2016KTCQ01-35
陕西省科技统筹创新工程计划项目（2016KTCQ01-35）。 |
| Author Name | Affiliation | Postcode | | TANG Wei | College of Electrical and Control Engineering, Shaanxi University of Science &
Technology, Xi’an， Shaanxi Province, 710021 | 710021 | | MA Qiang | College of Electrical and Control Engineering, Shaanxi University of Science &
Technology, Xi’an， Shaanxi Province, 710021 | 710021 | | SHUI Yuyang | College of Mechanical and Electrical Engineering, Shaanxi University of Science &
Technology, Xi’an, Shaanxi Province, 710021)
(* | 710021 | | WANG Shuai | College of Electrical and Control Engineering, Shaanxi University of Science &
Technology, Xi’an， Shaanxi Province, 710021 | 710021 |
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| Abstract:For medium and high speed fourdrinier paper machine, ensuring the speed chain control to meet the process requirements is of great significance for the normal operation. At present, the paper machine speed chain control mostly adopts conventional PID control. However the medium and high speed fourdrinier paper machine requires higher response speed of the closed-loop system and control precision due to it has multi driving points and high speed, so the conventional PID parameter tuning method is difficult to meet the above control requirements. Ant colony algorithm (ACO) is a kind of suitable for multi-objective optimization of the global search algorithm, in view of the traditional ant colony algorithm is easy to fall into local optimum and slower search problems, this article will change pheromone factor (α) and heuristic factor (β) according to certain ratio relations with iteration, an improved ant colony algorithm was prepared, and applied to the speed chain of PID control parameters setting. Simulation results showed that, compared with conventional PID control, the improved ant colony algorithm based PID control system had higher response speed, smaller overshoot, better anti-interference ability and stronger robustness. Application results showed that the speed of each part of the paper machine was stable for a long period. |
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