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Loader Working Device Based On Genetic Algorithm To Optimize The Design Of Applied Research

Posted on:2002-01-23Degree:MasterType:Thesis
Country:ChinaCandidate:X F XiongFull Text:PDF
GTID:2192360032955416Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
An Application Research of the Work-equipmentOptimization of Loder-dozer Based On Genetic AlgorithmGraduate:Xiong XuefengTutor:Prof. Sun LiProf. Guo KangquanAbstractAccording to the direction of high efficiency and saving-energy in engineering machinery, this paper bring forward a kind of intelligence randomizing optimizing methodę”®enetic Algorithm (GA), to optimize the equipment of the loader-dozer. The purpose of this paper is to solve the problem of not easy to derive a global optimal result when using traditional optimizing method.Tiis paper make a movement analysis of work equipment, establish a high-dimensional optimal mathematical model; The objective functions of this model are the lifting force of arm working cylinder and the shoveling force of turn over working cylinder, the design variable is the length of each member of link gear, the constraint function is the design requirement. According to the factual conditions of this design, The paper improved the traditional Genetic Algorithm by several ways: Unites the penalty thoughts and standard GA, and designs a suitable fitness function; Adopts a improved encoding??real-value encoding, Because binary encoding may result reoperation, lowing efficiency of crossing and mutation, and increasing the run-time and the possibility of local optimal due to the long string of chromosome. This encoding method avoids all these problem successfully, and tail off the decoding step in GA; Adopts tournament selection, mathematical crossover, non-linear mutation. All of programs compiled with Tc2.O. The programs are made up of main model such as selection, crossover, mutation and generation and so on and supplementary model such as input, output, encoding and fitness calculating and so on.Through sample analysis, this paper takes parameter optimization of improved GA, and selected reasonable parameters such as: popsize, maxgen, Pr, Pr, Pm, non-linear mutation parameter. The results shows that the dynamic force performance of loader-dozer is up by 9% under the premises of filling the specification such as maximum discharge height, minimum shovel depth, discharge distance, translation characteristic, unloading characteristic, auto laying characteristic and so on. The optimization time is shorten greatly, perform efficiency of improved GA is 3 times of the penalty.Improved GA successfully solved the problem of difficult-solution due to the nonlinear, multibounding, high dimensional of objective function in working equipment optimization of loader-dozer, increased the efficiency and level of engineering design, and shorten the periodic of design, decreased the capital.
Keywords/Search Tags:Loader-dozer, Working equipment, Optimization, GA, Real-value encoding
PDF Full Text Request
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