Optimization Design And Study For Differential Decelerator Level Compensation

With the progress of science and technology and the development of technology of the computer, the modern design method has already been applied to each field of engineering design extensively. Machinery is designed and optimized technology, electronic computer technology to combine most, have formed this new field of mechanical optimization design. Optimization design has not merely offered one kind for engineering design newly the scientific design method, is it while solving the complicated problem of designing, can find as much as possible getting perfect or most suitable design plan in numerous design plan to make, and adopting this kind of design method can improve design efficiency and designing quality greatly, have getting obvious the economic benefits and social benefit. Just because of this, are designing the field to get very vast development and use the prospect in machinery in optimization design.The structure and the function and several basic characteristics to the human brain that the neural network [Artificial Neutral Network, is abbreviated as ANN are abstract, simplify and simulation and a kind of information process system become; It is by a large number of neurons through the extremely abundant and perfect connection and forming. Compare with other algorithms, the neural network unifies the algorithm and structure the as a organic whole system, at the same time because it imitates the structure of the brain to a certain extent, this kind of system has higher intelligence and has faster computational speed.This text opposite house flat hoist become pieces of organization adopt getting differential decelerator, realize the differential decelerator is compensated directly while changing one, enable hanging and move heavily along the direction close to the horizontal line. Introduce one at the same time and optimize the method new-typly-Hopfield neural network, combines project reality closely, the comparatively satisfactory one solving.In order to make it convenient for to realize Hopfield network was optimized, this text has utilized VC and Matlab programming software, design program andadopt the neural network algorithm toolbox of MATLAB, enable designing and concentrating on optimizing the question itself more, but not pester in the concrete algorithm is realized too much. The job of this text has meaning of two following respects:1, The level of the opposite house machine turns into an organization and adopts the form in which the differential decelerator compensates, not merely simplify the organization of the hoist, reduce the dead weight of the hoist, realizes hanging and moving heavily along the direction close to the horizontal line at the same time.2, Having realized Hopfield neural network that turn into a piece of optimization of organization.