Abstract
This paper presents an online self-tuning Smith Predictor for the First Order Plus Dead Time Model (FOPDT). It can tune time delay through oscillated input and output. Realtime phase difference detection is used to obtain the phase difference between the input and the output. An online tuner is used to minimize the phase difference. Once the phase difference is minimized, the exact time delay is completely compensated. Our method is suitable for both systems with constant time delay or variant time delay.
Original language | English |
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Title of host publication | 2016 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2123-2127 |
Number of pages | 5 |
ISBN (Electronic) | 9781509023943 |
DOIs | |
Publication status | Published - 1 Sept 2016 |
Event | 13th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016 - Harbin, Heilongjiang, China Duration: 7 Aug 2016 → 10 Aug 2016 |
Publication series
Name | 2016 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016 |
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Conference
Conference | 13th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016 |
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Country/Territory | China |
City | Harbin, Heilongjiang |
Period | 7/08/16 → 10/08/16 |
Keywords
- First Order Plus Dead Time Model
- Smith Predictor
- self-tuning
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Chen, X., Chen, X., Meng, F., & Huang, Q. (2016). A kind of online self-tuning smith predictor. In 2016 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016 (pp. 2123-2127). Article 7558894 (2016 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMA.2016.7558894