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An Improved Genetic Fuzzy Logic Control Method to Reduce the Enlargement of Coal Floor Deformation in Shearer Memory Cutting Process.

Tan C, Xu R, Wang Z, Si L, Liu X - Comput Intell Neurosci (2016)

Bottom Line: In order to reduce the enlargement of coal floor deformation and the manual adjustment frequency of rocker arms, an improved approach through integration of improved genetic algorithm and fuzzy logic control (GFLC) method is proposed.Then, the framework of proposed approach is built.Moreover, the constituents of GA such as tangent function roulette wheel selection (Tan-RWS) selection, uniform crossover, and nonuniform mutation are employed to enhance the performance of GFLC.

View Article: PubMed Central - PubMed

Affiliation: School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China; Xuyi Mine Equipment and Materials R&D Center, China University of Mining & Technology, Huai'an, China.

ABSTRACT
In order to reduce the enlargement of coal floor deformation and the manual adjustment frequency of rocker arms, an improved approach through integration of improved genetic algorithm and fuzzy logic control (GFLC) method is proposed. The enlargement of coal floor deformation is analyzed and a model is built. Then, the framework of proposed approach is built. Moreover, the constituents of GA such as tangent function roulette wheel selection (Tan-RWS) selection, uniform crossover, and nonuniform mutation are employed to enhance the performance of GFLC. Finally, two simulation examples and an industrial application example are carried out and the results indicate that the proposed method is feasible and efficient.

No MeSH data available.


Related in: MedlinePlus

Application effect of proposed system.
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fig19: Application effect of proposed system.

Mentions: For the shearer, the aim is to correct the floor shape in implementation cycles similar to the floor shape in demonstration cycle. In order to illustrate the application effect of proposed system, the coal floor height is collected by 1 Hz, 30 minutes is needed to accomplish one cycle, and the collected data are transmitted to the “gateway controller” and “ground monitoring center.” The change curves of coal floor height in 4 sequential implementation cycles are plotted to illustrate the application effect of proposed system, as shown in Figure 19.


An Improved Genetic Fuzzy Logic Control Method to Reduce the Enlargement of Coal Floor Deformation in Shearer Memory Cutting Process.

Tan C, Xu R, Wang Z, Si L, Liu X - Comput Intell Neurosci (2016)

Application effect of proposed system.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4863090&req=5

fig19: Application effect of proposed system.
Mentions: For the shearer, the aim is to correct the floor shape in implementation cycles similar to the floor shape in demonstration cycle. In order to illustrate the application effect of proposed system, the coal floor height is collected by 1 Hz, 30 minutes is needed to accomplish one cycle, and the collected data are transmitted to the “gateway controller” and “ground monitoring center.” The change curves of coal floor height in 4 sequential implementation cycles are plotted to illustrate the application effect of proposed system, as shown in Figure 19.

Bottom Line: In order to reduce the enlargement of coal floor deformation and the manual adjustment frequency of rocker arms, an improved approach through integration of improved genetic algorithm and fuzzy logic control (GFLC) method is proposed.Then, the framework of proposed approach is built.Moreover, the constituents of GA such as tangent function roulette wheel selection (Tan-RWS) selection, uniform crossover, and nonuniform mutation are employed to enhance the performance of GFLC.

View Article: PubMed Central - PubMed

Affiliation: School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China; Xuyi Mine Equipment and Materials R&D Center, China University of Mining & Technology, Huai'an, China.

ABSTRACT
In order to reduce the enlargement of coal floor deformation and the manual adjustment frequency of rocker arms, an improved approach through integration of improved genetic algorithm and fuzzy logic control (GFLC) method is proposed. The enlargement of coal floor deformation is analyzed and a model is built. Then, the framework of proposed approach is built. Moreover, the constituents of GA such as tangent function roulette wheel selection (Tan-RWS) selection, uniform crossover, and nonuniform mutation are employed to enhance the performance of GFLC. Finally, two simulation examples and an industrial application example are carried out and the results indicate that the proposed method is feasible and efficient.

No MeSH data available.


Related in: MedlinePlus