Serial-kinematic monolithic nanopositioner with in-plane bender actuators

Moore, Steven Ian; Yong, Yuen Kuan; Omidbeike, Meysam; Fleming, Andrew J.

doi:10.1016/j.mechatronics.2021.102541

Cited by 11 publications

(2 citation statements)

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“…where p ij is the displacement of jth point when ith actuator is actuated at unit volt. The voltage matrix of 'n' piezoactuators can be defined by equation (10) where V i represents the electric potential of ith piezoactuator. For a given set of electrode potential of piezoactuators, the achieved shape profile (Y) of smart structure can be defined by equation (11),…”

Section: Iprf-based Optimizationmentioning

confidence: 99%

“…These analytical and approximate solutions are used with various sophisticated techniques to design and optimize piezoactuated structures and devices to improve the performance and achieve more accuracy and precision. Structures and devices using piezoactuators are used for various applications such as shape control [8,9], micro/nano position stage [10,11], vibration and noise suppression systems [12,13] etc. Shape control of flexible structures is mainly done to enhance the performance efficiency of structures [9,14].…”

Section: Introductionmentioning

confidence: 99%

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Iterative piezo response function-based optimization for static shape control of cantilever beam using nonlinear piezoactuators

Sumit¹,

Kane²,

Sinha³

et al. 2022

Smart Mater. Struct.

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Shape control of complex structures by optimizing the electrode potential is not achievable directly by analytical solutions and piezo response function base-optimization techniques due to the nonlinear response of piezoactuators. In the present work, a metaheuristic iterative piezo response function (iPRF)-based optimization technique is developed to achieve the arbitrary shape of piezoelectric unimorph using nonlinear piezoactuators. In this regard, a piezoelectric unimorph (PU) is fabricated using APC 850 piezoactuator to verify the nonlinear response in bending mode and nonlinear analytical model of PU. After verification, length of the inactive layer and number of piezoactuators in PU are modified to study the shape control. iPRF-based technique is used for the optimization of electric potential to achieve the target shape of modified piezoelectric unimorph (MPU) with varying piezoactuators. The results of iPRF-based technique are compared with the results of simulated annealing-based direct optimization technique. Unlike simulated annealing-based direct optimization technique, prior knowledge of nonlinear coefficients of piezoactuator is not required in iPRF-based technique. Optimum values obtained from both the direct nonlinear solution- and iPRF-based optimization methods are same for all MPUs. Furthermore, the number of iterations of iPRF-based optimization approach is not affected by the number of piezoactuators used to achieve the desired shape.

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Section: Iprf-based Optimizationmentioning

confidence: 99%