Optimal design of tricept parallel manipulator with particle swarm optimization using performance parameters

The parallel manipulators are skilled for their precision manufacturing but need optimized design to get maximum dexterity that will lead towards better industrial production rates. 3-DOF tricept is chosen utilize its capabilities functionality. Three performance parameters conditioning index, workspace volume, and global index used obtain optimum variables of mechanism. With a view compare them in terms processing effort, particle swarm optimization (PSO) applied here. Finally, multiobjective with two strategies weighted epsilon constraint performed control the different simultaneously also give validation previously obtained GA based values