Integrated modeling and intelligent control methods of grinding process

2011 ◽  
Author(s):  
Wang Jie-sheng ◽  
Sun Shi-feng
Keyword(s):  
Intelligent Control ◽  
Integrated Modeling ◽  
Grinding Process ◽  
Control Methods

scholarly journals Integrated Modeling and Intelligent Control Methods of Grinding Process

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Jie-sheng Wang ◽  
Na-na Shen ◽  
Shi-feng Sun
Keyword(s):  
Intelligent Control ◽  
Control Method ◽  
Soft Sensor ◽  
Integrated Modeling ◽  
Case Based Reasoning ◽  
Grinding Process ◽  
Control Methods ◽  
Set Point ◽  
Self Tuning ◽  
Case Based

The grinding process is a typical complex nonlinear multivariable process with strongly coupling and large time delays. Based on the data-driven modeling theory, the integrated modeling and intelligent control method of grinding process is carried out in the paper, which includes the soft-sensor model of economic and technique indexes, the optimized set-point model utilizing case-based reasoning, and the self-tuning PID decoupling controller. For forecasting the key technology indicators (grinding granularity and mill discharge rate of grinding process), an adaptive soft-sensor modeling method based on wavelet neural network optimized by the improved shuffled frog leaping algorithm (ISFLA) is proposed. Then, a set point optimization control strategy of grinding process based on case-based reasoning (CBR) method is adopted to obtain the optimized velocity set-point of ore feed and pump water feed in the grinding process controlled loops. Finally, a self-tuning PID decoupling controller optimized is used to control the grinding process. Simulation results and industrial application experiments clearly show the feasibility and effectiveness of control methods and satisfy the real-time control requirements of the grinding process.

Intelligentized Technologies for Welding Manufacturing

2013 ◽  
Vol 773-774 ◽  
pp. 725-731 ◽  
Author(s):  
Shan Ben Chen ◽  
Zhen Ye ◽  
Gu Fang
Keyword(s):  
Intelligent Control ◽  
Arc Welding ◽  
Welding Process ◽  
Dynamical Process ◽  
Control Methods ◽  
Welding Robot ◽  
Robotic Welding ◽  
Artificial Intelligent ◽  
Intelligent Computing ◽  
Robot Systems

This paper presents some newest and potential developments on artificial intelligent technologies for welding manufacturing process in Shanghai Jiao Tong University (SJTU), which contains multi-information acquirement and fusion processing of arc welding dynamical process; Intelligent computing for welding process; Intelligent control methods for welding process and quality control; artificial intelligent technologies for welding robot systems and robotic welding process; and some application in welding engineering. The ideas of intelligentized welding manufacturing technology (IWMT) and intelligentized welding manufacturing engineering (IWME) are presented in this paper for systematization of intending researches and applications on intelligentized technologies for modern welding manufacturing.

Design of Intelligent Control and Diagnosis System of Aquaculture Based on PROFIBUS

2011 ◽  
Vol 328-330 ◽  
pp. 1985-1989
Author(s):  
Fang Peng ◽  
Wen Hui Zhou
Keyword(s):  
Intelligent Control ◽  
Disease Diagnosis ◽  
Case Based Reasoning ◽  
Control Methods ◽  
Intelligent Monitoring ◽  
Diagnosis System ◽  
Machine Interface ◽  
Profibus Dp ◽  
Time Acquisition

In order to improve the level of intensive factory aquaculture, an intelligent monitoring system with PROFIBUS-DP network is designed. The main parameters of the culture environment and their control methods are discussed. The human-machine interface and database are developed to achieve real-time acquisition, monitoring and process of culture data. A disease diagnosis system combining with case-based reasoning and fuzzy logic is designed, which provides great convenience for the users and improves the quality of aquaculture.

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