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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

Membership functions and surface tuned by improved GA.
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fig13: Membership functions and surface tuned by improved GA.

Mentions: To guarantee the operation speed and performance of the algorithm, we take repeated experiments and determine the parameter values generally: n = 30, mature rate η = 70%, Maxgen = 150, e = 0.05, h = 0.5, and contraction factor k = 0.67. Figure 12 describes the comparison of iterative process, R-# represents the #th evolution of selecting logic rules, and F-# represents the #th evolution of tuning membership functions. From Figure 12, improved GA converges after three iterative evolutions with 760 generations, standard GA converges with 798 generations, the improved GA has faster converge rate, and the solution of improved GA is better than standard GA. The reason of objective function jumping is the sequential optimization. The shapes of membership functions and the FLC surface tuned by improved GA are plotted in Figure 13.


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)

Membership functions and surface tuned by improved GA.
© Copyright Policy
Related In: Results  -  Collection

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

fig13: Membership functions and surface tuned by improved GA.
Mentions: To guarantee the operation speed and performance of the algorithm, we take repeated experiments and determine the parameter values generally: n = 30, mature rate η = 70%, Maxgen = 150, e = 0.05, h = 0.5, and contraction factor k = 0.67. Figure 12 describes the comparison of iterative process, R-# represents the #th evolution of selecting logic rules, and F-# represents the #th evolution of tuning membership functions. From Figure 12, improved GA converges after three iterative evolutions with 760 generations, standard GA converges with 798 generations, the improved GA has faster converge rate, and the solution of improved GA is better than standard GA. The reason of objective function jumping is the sequential optimization. The shapes of membership functions and the FLC surface tuned by improved GA are plotted in Figure 13.

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