The Ni-MH Power Battery Electrode Material Admixture Process Fuzzy Control System

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.887-888.497 ◽

2014 ◽

Vol 887-888 ◽

pp. 497-500

Author(s):

Guang Jun Ma ◽

Shuo Wu ◽

Ya Dong Gong

Keyword(s):

Control System ◽

Fuzzy Control ◽

Electrode Material ◽

Good Control ◽

Fuzzy Control System ◽

Power Battery ◽

Battery Electrode

In the Ni-MH power battery electrodes manufacturing, the quality of the electrode material admixture will affect electrode and the whole function of batteries directly. However, the electrode material admixture process is very complex. It is very difficult to build up a model of precision to carry on control to the system. The traditional electrode material admixture control of the process, mainly according to develop the personnel on trial and the spot experience to complete, That method basically can not reach the good control appearance. The Fuzzy control can resolve the problem of this complication nicely.

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Creation of Fuzzy Control Table with Data Mining

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.760-762.1080 ◽

2013 ◽

Vol 760-762 ◽

pp. 1080-1083

Author(s):

Jun Gao

Keyword(s):

Data Mining ◽

Control System ◽

Fuzzy Control ◽

Control Systems ◽

Association Rule ◽

New Method ◽

Data Mining Techniques ◽

Fuzzy Control System

A good fuzzy control table is the key to a fuzzy control system, and the systems performance mainly depends on the quality of the table. Based on analyzing fully the principles of a typical fuzzy control systems and the procedures of building a fuzzy control table, this paper presents a new method of applying the boolean association rule data mining techniques to mining of fuzzy control table directly from the database of manual operating records.

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Study on the Application of Semi-Active Variable Stiffness Fuzzy Control System to a Residential Building

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.446-449.3197 ◽

2012 ◽

Vol 446-449 ◽

pp. 3197-3201 ◽

Cited By ~ 1

Author(s):

Ping Wei ◽

Hong Bing Chen ◽

Ya Ying Zhang

Keyword(s):

Control System ◽

Fuzzy Control ◽

Residential Building ◽

Good Control ◽

Variable Stiffness ◽

Control Effect ◽

Ground Acceleration ◽

Maximum Displacement ◽

Fuzzy Control System ◽

Operating Modes

Based on a steel concrete building, this paper presents a study on the fuzzy control of building vibration. The building structure is simplified into layer model and is applied with a fuzzy control. Three membership functions, Gaussian, triangel and π shap, are used for the simulation. Three earthquake waves, El_centro, Taft and Tianjinghuanhe, are utilized as well. Nine operating modes are proposed for fuzzy control. A series of fuzzy control rules are designed with ground acceleration and mass point displacement being regarded as firstly important components. The simulation results show the control ratio of decreased displacement to the maximum displacement without control varies from 12.67% of Mode I to 36.33% of Mode G. The average control ratio is 23.99%. The fuzzy control system has a quite good control effect on building vibration.

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