Research on Improved Intelligent Control Processes Based on Three Kinds of Artificial Intelligence
| العنوان: | Research on Improved Intelligent Control Processes Based on Three Kinds of Artificial Intelligence |
|---|---|
| المؤلفون: | Jiaming Chen, Jingwei Liu, Tianyue Li, Fang-Ling Zuo |
| المصدر: | Processes Volume 8 Issue 9 Processes, Vol 8, Iss 1042, p 1042 (2020) |
| بيانات النشر: | Multidisciplinary Digital Publishing Institute, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | 0209 industrial biotechnology, Computer science, Control (management), Stability (learning theory), Bioengineering, 02 engineering and technology, online tuning for control parameters, computer.software_genre, lcsh:Chemical technology, lcsh:Chemistry, 020901 industrial engineering & automation, Wavelet, 0202 electrical engineering, electronic engineering, information engineering, Chemical Engineering (miscellaneous), lcsh:TP1-1185, expert PID, Process Chemistry and Technology, Work (physics), wavelet neural network PID, Control engineering, fuzzy PID, Expert system, Upgrade, lcsh:QD1-999, Control system, 020201 artificial intelligence & image processing, Intelligent control, intelligent control, computer |
| الوصف: | Autotuning and online tuning of control parameters in control processes (OTP) are widely used in practice, such as in chemical production and industrial control processes. Better performance (such as dynamic speed and steady-state error) and less repeated manual-tuning workloads in bad environments for engineers are expected. The main works are as follows: Firstly, a change ratio for expert system and fuzzy-reasoning-based OTP methods is proposed. Secondly, a wavelet neural-network-based OTP method is proposed. Thirdly, comparative simulations are implemented in order to verify the performance. Finally, the stability of the proposed methods is analyzed based on the theory of stability. Results and effects are as follows: Firstly, the proposed control parameters of online tuning methods of artificial-intelligence-based classical control (AI-CC) systems had better performance, such as faster speed and smaller error. Secondly, stability was verified theoretically, so the proposed method could be applied with a guarantee. Thirdly, a lot of repeated and unsafe manual-based tuning work for engineers can be replaced by AI-CC systems. Finally, an upgrade solution AI-CC, with low cost, is provided for a large number of existing classical control systems. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2227-9717 |
| DOI: | 10.3390/pr8091042 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3fb531d0c6f058a42130f28d680a6fdTest |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....e3fb531d0c6f058a42130f28d680a6fd |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 22279717 |
|---|---|
| DOI: | 10.3390/pr8091042 |