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Design of an Optimized Self-Sensing Piezoelectric Cantilever for Micro-Robotic Applications

机译:微机器人应用优化的自感应压电悬臂设计

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Quasi-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.
机译:由于它们可以实现的小型位移,因此可以在微机器人中使用准静电压电致动器,并且已经证明它们适用于自感应致动(SSA)应用。致动器的制造参数(即形态,刚度,电容)将对SSA实现的性能产生影响,并且该研究旨在检查如何优化压电悬臂的那些参数。为此类型的执行器建立了模型,从中定义了目标函数。通过对设计产生限制来设置边界条件。然后采用分析优化方法来研究跨设计空间的目标函数的演变。该研究证明了满足约束的解决方案的子集并最大化目标函数,并且证明了该子集的单调性。结论是为了获得最佳解决方案,必须最大化长度,最小化层数及其厚度,并从应用于目标函数上施加的约束的这些参数中得出适当的宽度。

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