Precise Positioning of Electrostatic MEMS: A Non-Contacting Approach

Author(s):  
I. P. M. Wickramasinghe ◽  
Ganapathy S. Sivakumar ◽  
Jordan M. Berg ◽  
Timothy E. J. Dallas

Previously, precise positioning of electrostatic MEMS devices has been achieved using mechanical contact between movable and fixed components. A disadvantage of this approach is that stiction at the contact may eventually lead to device failure. This paper presents an alternative approach, whereby a desired configuration is defined by the intersection of two comb structures—one movable and the other fixed. Extremum-seeking control drives the movable electrode to this desired configuration by maximizing the mutual capacitance between the two comb structures. As in the case of mechanical contact, the device structure primarily determines the actuated configuration rather than precise sensing or actuation. However, because the comb structures never physically contact each other, stiction failure is eliminated.

Author(s):  
Yuheng Wu ◽  
Mohammad Hazzaz Mahmud ◽  
Radha Sree Krishna Moorthy ◽  
Madhu Chinthavali ◽  
Yue Zhao

2020 ◽  
Vol 53 (2) ◽  
pp. 1614-1620
Author(s):  
Fabiana Federica Ferro ◽  
Michele Lionello ◽  
Mirco Rampazzo ◽  
Alessandro Beghi ◽  
Martin Guay

Author(s):  
Zhongyou Wu ◽  
Yaoyu Li

Real-time optimization of wind farm energy capture for below rated wind speed is critical for reducing the levelized cost of energy (LCOE). Performance of model based control and optimization techniques can be significantly limited by the difficulty in obtaining accurate turbine and farm models in field operation, as well as the prohibitive cost for accurate wind measurements. The Nested-Loop Extremum Seeking Control (NLESC), recently proposed as a model free method has demonstrated its great potential in wind farm energy capture optimization. However, a major limitation of previous work is the slow convergence, for which a primary cause is the low dither frequencies used by upwind turbines, primarily due to wake propagation delay through the turbine array. In this study, NLESC is enhanced with the predictor based delay compensation proposed by Oliveira and Krstic [1], which allows the use of higher dither frequencies for upwind turbines. The convergence speed can thus be improved, increasing the energy capture consequently. Simulation study is performed for a cascaded three-turbine array using the SimWindFarm platform. Simulation results show the improved energy capture of the wind turbine array under smooth and turbulent wind conditions, even up to 10% turbulence intensity. The impact of the proposed optimization methods on the fatigue loads of wind turbine structures is also evaluated.


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