| The application of ship-unloaders is investigated in detail in this dissertation. The grab of bridge ship-unloader sways during unloading bulk cargoes, and this hampers its productivity, so in order to prevent the grab's swaying and reduce the unloading time, the whole process of moving trolley and grab is analyzed at length in this dissertation. The state of the moving trolley is divided into two categories: the stationary unloading state and the asway unloading state. For each category, models are made, moving functions are drawn, and results are got.This dissertation discusses in detail the fuzzy optimization method of solving the model of moving trolley, and the model of moving trolley belongs to the unsymmetrical fuzzy optimization one. Methods of determining the optimal level value and tolerance are discussed. The fuzzy optimization problem is changed into a routine optimization problem by selecting a suitable optimal level value and tolerance. Hybrid SUMT (Sequential Unconstrained Minimization Technique) is used in this dissertation, and it is a very useful method in solving problems of constrained optimization. Variable metric method of BFGS is used to solve the problem of unconstrained optimization when a constrained one turns into an unconstrained one by using hybrid SUMT, and it is recognized as the best arithmetic for solving unconstrained optimization problems. The one dimension search method of second differential algorithm is used in the Variable metric method of BFGS.At the end of this dissertation, software is programmed to solve the problem of constrained nonlinear optimization, to draw chart of acceleration and velocity, and to simulate the whole moving process of the trolley and grab. The calculation results of acceleration, velocity, and time of every part of the moving trolley are easily obtained and workers only input the parameters of working condition, they will get the results. This not only makes it very easy to realize automatic unloading, but also reduces technical requirements for workers. Most important of all, it reduces unloading time and raises the productivity distinctly. So the advantages of fuzzy optimization are obvious and it is necessary to implement fuzzy optimization methods. It also can be seen from the calculation results that the proper introduction of asway unloading can reduce the unloading time and raise the productivity compared to stationary unloading.Besides, a equation fuzzy method has been introduced for the first time, and if it is right, it will enlarge the fuzzy method. |
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