000258059 001__ 258059
000258059 005__ 20190320113628.0
000258059 0247_ $$2doi$$a10.1109/MARSS.2018.8481181
000258059 037__ $$aCONF
000258059 245__ $$aDesign of an Optimized Self-Sensing Piezoelectric Cantilever for Micro-Robotic Applications
000258059 260__ $$bIEEE$$c2018
000258059 269__ $$a2018
000258059 336__ $$aConference Papers
000258059 520__ $$aQuasi-static piezoelectric actuators are used in micro-robotics due to the small displacements they can achieve, and they have been proved suitable for Self-Sensing Actuation (SSA) applications. The fabrication parameters of an actuator (i.e. morphology, stiffness, capacitance) will have an impact on the performance of the SSA implementation, and this study intends to examine how to optimize those parameters for a piezoelectric cantilever. A model is established for this type of actuator, from which an objective function is defined. Boundary conditions are set on the optimization study by imposing constraints on the design. An analytical optimization approach is then adopted to study the evolution of the objective function across the design space. The study evidences the existence of a subset of solutions satisfying the constraint and maximizing the objective function, and the monotonicity of this subset is demonstrated. It is concluded that to obtain an optimal solution, one must maximize the length, minimize the number of layers and their thickness, and derive the appropriate width from these parameters applied to the constraint imposed on the objective function.
000258059 700__ $$aMasson, L.
000258059 700__ $$aLiu, X.
000258059 700__ $$aPerriard, Y.
000258059 7112_ $$a2018 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS)$$cNagoya, Japan$$dJuly 4 -8, 2018
000258059 773__ $$tProceedings of the 2018 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS)
000258059 8560_ $$fmagdalena.schauenberg@epfl.ch
000258059 909C0 $$0252066$$mmagdalena.schauenberg@epfl.ch$$myves.perriard@epfl.ch$$pLAI$$xU10351
000258059 909CO $$ooai:infoscience.epfl.ch:258059$$pSTI$$pconf
000258059 960__ $$amagdalena.schauenberg@epfl.ch
000258059 961__ $$apierre.devaud@epfl.ch
000258059 973__ $$aEPFL$$rREVIEWED
000258059 980__ $$aCONF
000258059 981__ $$aoverwrite