Limits...
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

Coal floor height of traditional memory cutting.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4863090&req=5

fig10: Coal floor height of traditional memory cutting.

Mentions: According to the gesture information in demonstration stage, the shearer works along the coal wall in traditional memory cutting method automatically for 3 implementation cycles, as shown in Figure 10. The compared data of coal floor height are listed in Table 2. Seen from Figure 10 and Table 2, the enlargement of deformation gets larger and the standard deviation increases from 2.48 cm to 11.77 cm.


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)

Coal floor height of traditional memory cutting.
© Copyright Policy
Related In: Results  -  Collection

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

fig10: Coal floor height of traditional memory cutting.
Mentions: According to the gesture information in demonstration stage, the shearer works along the coal wall in traditional memory cutting method automatically for 3 implementation cycles, as shown in Figure 10. The compared data of coal floor height are listed in Table 2. Seen from Figure 10 and Table 2, the enlargement of deformation gets larger and the standard deviation increases from 2.48 cm to 11.77 cm.

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