A Multi-criteria design optimization framework for haptic interfaces

Ünal, Ramazan and Kızıltaş, Güllü and Patoğlu, Volkan (2007) A Multi-criteria design optimization framework for haptic interfaces. [Working Paper / Technical Report] Sabanci University ID:SU_FENS_2007/0014

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performance measures are discussed and optimization problems for a haptic interface with best worst-case kinematic and dynamic performance are formulated. Non-convex single objective optimization problems are solved with a branch-and-bound type (modified culling) algorithm. Pareto methods characterizing the trade-off between multiple design criteria are advocated for multi-criteria optimization over widely used scalarization approaches and Normal Boundary Intersection method is applied to efficiently obtain the Pareto-front hyper-surface. The framework is applied to a sample parallel mechanism (five-bar mechanism) and the results are compared with the results of previously published methods in the literature. Finally, dimensional synthesis of a high performance haptic interface utilizing its Pareto-front curve is demonstrated.
Item Type: Working Paper / Technical Report
Divisions: Faculty of Engineering and Natural Sciences
Depositing User: Volkan Patoğlu
Date Deposited: 25 Oct 2007 16:17
Last Modified: 26 Apr 2022 10:45
URI: https://research.sabanciuniv.edu/id/eprint/5745

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