دورية أكاديمية

Research on Improved Intelligent Control Processes Based on Three Kinds of Artificial Intelligence

التفاصيل البيبلوغرافية
العنوان: Research on Improved Intelligent Control Processes Based on Three Kinds of Artificial Intelligence
المؤلفون: Jingwei Liu, Tianyue Li, Jiaming Chen, Fangling Zuo
المصدر: Processes, Vol 8, Iss 1042, p 1042 (2020)
بيانات النشر: MDPI AG
سنة النشر: 2020
المجموعة: Directory of Open Access Journals: DOAJ Articles
مصطلحات موضوعية: online tuning for control parameters, intelligent control, expert PID, fuzzy PID, wavelet neural network PID, Chemical technology, TP1-1185, Chemistry, QD1-999
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 e ffects 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.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 2227-9717
العلاقة: https://www.mdpi.com/2227-9717/8/9/1042Test; https://doaj.org/toc/2227-9717Test; https://doaj.org/article/4a9081469b81462082e25110f3f6f34aTest
DOI: 10.3390/pr8091042
الإتاحة: https://doi.org/10.3390/pr8091042Test
https://doaj.org/article/4a9081469b81462082e25110f3f6f34aTest
رقم الانضمام: edsbas.19A27388
قاعدة البيانات: BASE
الوصف
تدمد:22279717
DOI:10.3390/pr8091042