Mechanical and energetic characteristics of an energy harvesting type piezoelectric ultrasonic actuator

Wang, Guangqing; Tan, Jiangping; Zhao, Zexiang; Cui, Sujuan; Wu, Haiqiang

doi:10.1016/j.ymssp.2019.03.029

Cited by 18 publications

(6 citation statements)

References 18 publications

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“…According to different dynamic characteristics of the startup and shutdown stages, the description function of startup and shutdown can be expressed as Eqs. (16) and (17), respectively. The coefficients of the starting section and shut-off section for the rotor are (K s , s , ω ns ) and (K p , p , ω np ), respectively.…”

Section: Simplified Speed Model With Different Pulse Numbersmentioning

confidence: 99%

“…The least squares identification is implemented for the startup and shutdown stages from the power-off moment to obtain the transfer functions shown in Eqs. (16) and (17). With the identification of the results when the pulse number is 400, the natural frequencies and damping coefficients identified from the startup process are drawn in Table 1.…”

Section: Identification Of Stepwise Angular Displacementmentioning

confidence: 99%

“…Advantageous features such as high stalling torque [9,10], fast response [11], magnetic resonance compatibility [12,13], and high precision motion without magnetization are the motor's strengths because microscopic stepping motion can be achieved by controlling the actuating voltages. Therefore, the ultrasonic motor is widely used in precise manufacturing, robots, and telescope zoom lens [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

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Analysis and control of micro-stepping characteristics of ultrasonic motor

et al. 2020

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Micro-stepping motion of ultrasonic motors satisfies biomedical applications, such as cell operation and nuclear magnetic resonance, which require a precise compact-structure non-magnetization positioning device. When the pulse number is relatively small, the stopping characteristics have a non-negligible effect on the entire stepwise process. However, few studies have been conducted to show the rule of the open-loop stepwise motion, especially the shutdown stage. In this study, the modal differences of the shutdown stage are found connected with amplitude and velocity at the turn-off instant. Changes of the length in the contact area and driving zone as well as the input currents, vibration states, output torque, and axial pressure are derived by a simulation model to further explore the rules. The speed curves and vibration results in functions of different pulse numbers are compared, and the stepwise motion can be described by a two-stage two-order transfer function. A test workbench based on the Field Programmable Gate Array is built for acquiring the speed, currents, and feedback voltages of the startup-shutdown stage accurately with the help of its excellent synchronization performances. Therefore, stator vibration, rotor velocity, and terminal displacements under different pulse numbers can be compared. Moreover, the two-stage two-order model is identified on the stepwise speed curves, and the fitness over 85% between the simulation and test verifies the model availability. Finally, with the optimization of the pulse number, the motor achieves 3.3 µrad in clockwise and counterclockwise direction.

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Section: Simplified Speed Model With Different Pulse Numbersmentioning

confidence: 99%

Section: Identification Of Stepwise Angular Displacementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis and control of micro-stepping characteristics of ultrasonic motor

et al. 2020

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“…However, the ultimate goal of the VEHs is to produce as much energy as possible for the widest possible frequency bandwidth, thus in the literature, the harvesters analysis has been accompanied by optimisation procedures to improve their performance (Sarker et al 2019). Many examples of optimised VPEHs can be found in the literature (Kim et al 2015;Shu and Lien 2006;Wickenheiser and Garcia 2010;Onsorynezhad et al 2020;Rui et al 2018;Townsend et al 2019;Qian et al 2018;Salmani et al 2019;Wang et al 2019). Nevertheless, the most interesting form of optimisation implements specific optimisation methods, and it requires the definition of objective functions, equality and inequality constraints, boundaries, and design variables (Caetano and Savi 2021;Townsend et al 2019;Qian et al 2019Qian et al , 2018Salmani et al 2019;Wang et al 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Many examples of optimised VPEHs can be found in the literature (Kim et al 2015;Shu and Lien 2006;Wickenheiser and Garcia 2010;Onsorynezhad et al 2020;Rui et al 2018;Townsend et al 2019;Qian et al 2018;Salmani et al 2019;Wang et al 2019). Nevertheless, the most interesting form of optimisation implements specific optimisation methods, and it requires the definition of objective functions, equality and inequality constraints, boundaries, and design variables (Caetano and Savi 2021;Townsend et al 2019;Qian et al 2019Qian et al , 2018Salmani et al 2019;Wang et al 2019). This kind of procedure allows for managing many parameters in a single optimisation process and exploits the algorithm to reduce the overall computational time (Kaveh and Talatahari 2010).…”

Section: Introductionmentioning

confidence: 99%

Performance-aware design for piezoelectric energy harvesting optimisation via finite element analysis

Martinelli

Coraddu

Cammarano

2022

Int J Mech Mater Des

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Most of the optimisation studies of Vibration Energy Harvesters (VEHs) account for a single output quantity, e.g. frequency bandwidth or maximum power output, but this approach does not necessarily maximise the system efficiency. In those applications where VEHs are suitable sources of energy, to achieve optimal design it is important to consider all these performance indexes simultaneously. This paper proposes a robust and straightforward multi-objective optimisation framework for Vibration Piezoelectric Energy Harvesters (VPEHs), considering simultaneously the most crucial performance indexes, i.e., the maximum power output, efficiency, and frequency bandwidth. For the first time, a rigorous formulation of efficiency for Multi-Degree of Freedom (MDOF) VPEHs is here proposed, representing an extension of previous definitions. This formulation lends itself to the optimisation of FE and MDOF harvesters models. The optimisation procedure is demonstrated using a planar-shape harvester and validated against numerical results. The effects of changing some structural parameters on the harvester performance are investigated via sensitivity analysis. The results show that the proposed methodology can effectively optimise the global performance of the harvester, although this does not correspond to an improvement of every single index. Furthermore, the optimisation of each performance index individually results in a variety of design configurations that greatly differs from one another. It is here demonstrated that the design obtained with the multi-objective function here proposed is similar to the design obtained when optimising the efficiency.

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