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| Improvement of Temperature Control System Design in Bleaching |
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| DOI：10.11981/j.issn.1000-6842.2013.01.39 |
| Key Words:bleaching； least-square estimation； smith predictors； fuzzy cascade control |
| Fund Project:江苏省制浆造纸科学与技术重点实验室开放基金项目（201010）。 |
| Author Name | Affiliation | | 尤 斌1 | 1.南京林业大学江苏省制浆造纸科学与技术重点实验室，江苏南京，210037 | | 彭 晗2 | 2.南京林业大学化学工程学院，江苏南京，210037 | | 胡慕伊1,* | 1.南京林业大学江苏省制浆造纸科学与技术重点实验室，江苏南京，210037 | | 熊智新1 | 1.南京林业大学江苏省制浆造纸科学与技术重点实验室，江苏南京，210037 |
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| Abstract: |
| Bleaching process is a large inertial, large time-delay, time-varying process with much random disturbance. Aiming at these characteristics, this paper discussed the application of least-square estimation in parameter identification. A cascade control method based on fuzzy self-tuning PID controller was proposed. Two different Smith predictors were added in the main and inner of the system separately to compensate the pure lag of the temperature of bleaching tower and steam flow and fuzzy controller was used as the main controller.Simulation result showed that improved control system was much better than the traditional PID cascade control method in terms of dynamic performance and robustness. At last the paper verified its excellent control effect by application cases． |
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