Modeling and control of a sugars precipitation process for Chinese medicine mixed solution

2013 ◽  
Author(s):  
Hongjun Duan ◽  
Qingwei Li
Keyword(s):  
Chinese Medicine ◽  
Precipitation Process ◽  
Mixed Solution ◽  
Modeling And Control ◽  
And Control

Fuzzy Adaptive Control of a Chinese Medicine Sugar Precipitation Process

2013 ◽  
Vol 380-384 ◽  
pp. 435-440
Author(s):  
Qing Wei Li ◽  
Ong Jun Duan
Keyword(s):  
Adaptive Control ◽  
Chinese Medicine ◽  
Adaptive Robust Control ◽  
Precipitation Process ◽  
Mixed Solution ◽  
Fuzzy Adaptive Control ◽  
Control Approach ◽  
On Line ◽  
Fuzzy Adaptive ◽  
Logic System

This paper illustrates the benefits of a fuzzy adaptive control approach applied to a Chinese medicine sugar precipitation process. A model dedicated to Chinese medicine sugar precipitation was designed, without consideration of crystal size distribution. Fuzzy adaptive robust control algorithm was proposed for the uncertain nonlinear systems. The on-line calculation amount of fuzzy logic system is relatively less, the convergence rate and accuracy are better, and the output of system tracks the setpoints well, even in presence of disturbances and modeling error. The algorithm was applied to the precipitation control of sucrose-glucose mixed solution. Simulation results supported the validity of the proposed algorithm.

Asynchronous Fuzzy Cognitive Networks Modeling and Control for Goethite Iron Precipitation Process

2020 ◽  
Vol 33 (5) ◽  
pp. 1422-1445
Author(s):  
Ning Chen ◽  
Junjie Peng ◽  
Weihua Gui ◽  
Jiaqi Zhou ◽  
Jiayang Dai
Keyword(s):  
Cognitive Networks ◽  
Precipitation Process ◽  
Modeling And Control ◽  
Iron Precipitation ◽  
And Control

Sliding Adaptive Control of a Chinese Medicine Sugar Precipitation Process

2013 ◽  
Vol 380-384 ◽  
pp. 441-445 ◽  
Author(s):  
Hong Jun Duan ◽  
Li Zhao
Keyword(s):  
Adaptive Control ◽  
Chinese Medicine ◽  
Control Algorithm ◽  
Crystal Size ◽  
Sliding Mode ◽  
Precipitation Process ◽  
Mixed Solution ◽  
Modeling Error ◽  
Simulation Results ◽  
Adaptive Control Algorithm

A dynamic model dedicated to Chinese medicine sugar precipitation was designed, without consideration of crystal size distribution. A batch crystallizer was extended for studying the crystallization kinetics. Sliding mode adaptive control algorithm was proposed for the uncertain nonlinear systems. The scheme is robust for the uncertainties and overcomes the chattering in the input of sliding mode control in presence of disturbances and modeling error. It was applied to the precipitation control of sucrose-glucose mixed solution, and the validity of the proposed algorithm was supported by simulation results.

Modeling and Control for Plant Dynamics Based on Reinforcement Learning

2009 ◽  
Vol 129 (4) ◽  
pp. 363-367
Author(s):  
Tomoyuki Maeda ◽  
Makishi Nakayama ◽  
Hiroshi Narazaki ◽  
Akira Kitamura
Keyword(s):  
Reinforcement Learning ◽  
Modeling And Control ◽  
Plant Dynamics ◽  
And Control
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