Design and Optimization for a New Compliant Planar Spring of Upper Limb Assistive Device Using Hybrid Approach of RSM–FEM and MOGA

摘要: This study develops a new multi-objective optimization design for compliant planar spring that is used upper limb assistive device disabled people. The structure of designed by arranging the leaf springs in zigzag shape to permit large deformation. key element gravity-balanced mechanism (GBM) device, exoskeleton and robot. Static equilibration GBM utilized eliminate working effort disable forearm. therefore adjust stiffness maintain equilibrium condition. To improve static performances, an effective hybrid approach response surface method, finite genetic algorithm developed. In comparison with common types surrogates, Kriging metamodel was found as prefer black-box approximate objective functions. Subsequently, adopted find out Pareto-optimal set spring. sensitivity each variables then analyzed, their significant contributions are conducted using analysis variance. predicted results give good agreement validation ones. It eliminates modeling errors analytical method synthesis mechanisms. facilitate intelligent robotics systems devices.