Optimized Design for Overhead Line Insulation Robot
The weight of the overhead line robot affects the difficulty of the robot on-line and the energy consumption.Aiming at a new type of overhead line insulation robot,topology optimization and multi-objective optimization were used to achieve structur-al optimization.First,the structure of the insulation robot was analyzed to extract the design variables that affect the robot's optimi-zation target.Then the substructure topology model of the key structure was established to analyze material distribution.Otherwise,an improved multi-objective particle swarm algorithm was proposed.The advantages of the improved algorithm were evaluated through generation distance and space.The two-dimensional distribution result by sensitivity filtering was used as the input for multi-objective optimization model.Through the improved multi-objective algorithm,the MATLAB-ANSYS coupling model was used to optimize the First-order modal frequency and weight of the overall robot model.The selected Pareto optimal solution shows that the First-order modal frequency of the robot after optimization increases by 16.5Hz and the weight is reduced by 40.2%.
NETL
NSTL
万方数据
维普
