Capacitive-Based, Closed-Loop Frequency Control of Substrate-Integrated Cavity Tunable Filters

2014 ◽  
Vol 2014 (1) ◽  
pp. 000826-000831 ◽  
Author(s):  
Shahrokh Saeedi ◽  
William S. Wilson ◽  
Tyler R. Ashley ◽  
Hjalti H. Sigmarsson ◽  
Juseop Lee

In this paper, we present an integrated capacitive sensing technique that can be used to achieve closed-loop feedback control of variable capacitors. The technique is well suited for diaphragm-based actuators that can be used to tune the center frequency of microwave reconfigurable filters. A commercially available capaci-tance-to-digital converter is used to measure the capacitance of a custom-made monitoring capacitor. This capacitor is completely external to the filter structure and does not contribute to any added losses. A tunable, second-order, bandpass filter –using substrate-integrated, evanescent-mode cavity resonators– is created to demonstrate the concept. The frequency tuning is achieved using piezoelectric actuators to displace a flexible copper diaphragm that forms the top part of the loading capacitor. The monitoring capacitor consists of a second cavity that is mounted above the actuator forming a second air-filled, metal-insulator-metal capacitor. There exists a direct relationship between the monitoring capacitance and the loading capacitance in the evanescent-mode cavity. Therefore, by tracking the monitoring capacitance the center frequency of the filter can be monitored, which allows for direct in-situ closed-loop control of the filter. An algorithm for the tuning operation is presented, which includes an automatic calibration technique to initialize the controller. The effectiveness and repeatability of the technique is evaluated as the filter is tuned from 3.3 GHz to 3.7 GHz. Having stable feedback control integrated with this type of evanescent-mode cavity filters, brings the technology one step closer to actual fielding.

2015 ◽  
Vol 18 (01) ◽  
pp. 69-83 ◽  
Author(s):  
F.A.. A. Dilib ◽  
M.D.. D. Jackson ◽  
A. Mojaddam Zadeh ◽  
R.. Aasheim ◽  
K.. Årland ◽  
...  

Summary Important challenges remain in the development of optimized control strategies for intelligent wells, particularly with respect to incorporating the impact of reservoir uncertainty. Most optimization methods are model-based and are effective only if the model or ensemble of models used in the optimization captures all possible reservoir behaviors at the individual-well and -completion level. This is rarely the case. Moreover, reservoir models are rarely predictive at the spatial and temporal scales required to identify control actions. We evaluate the benefit of the use of closed-loop control strategies, on the basis of direct feedback between reservoir monitoring and inflow-valve settings, within a geologically heterogeneous, thin oil-rim reservoir. This approach does not omit model predictions completely; rather, model predictions are used to optimize a number of adjustable parameters within a general direct feedback relationship between measured data and inflow-control settings. A high-resolution sector model is used to capture reservoir heterogeneity, which incorporates a locally refined horizontal grid in the oil zone, to accurately represent the horizontal-well geometry and fluid contacts, and capture water and gas flow. Two inflow-control strategies are tested. The first is an open-loop approach, using fixed inflow-control devices to balance the pressure drawdown along the well, sized before installation. The second is a closed-loop, feedback-control strategy, using variable inflow-control valves that can be controlled from the surface in response to multiphase-flow data obtained downhole. The closed-loop strategy is optimized with a base-case model, and then tested against unexpected reservoir behavior by adjusting a number of uncertain parameters in the model but not reoptimizing. We find that closed-loop feedback control yields positive gains in net-present value (NPV) for the majority of reservoir behaviors investigated, and higher gains than the open-loop strategy. Closed-loop control also can yield positive gains in NPV even when the reservoir does not behave as expected, and in tested scenarios returned a near optimal NPV. However, inflow control can be risky, because unpredicted reservoir behavior also leads to negative returns. Moreover, assessing the benefits of inflow control over an arbitrarily fixed well life can be misleading, because observed gains depend on when the calculation is made.


Lab on a Chip ◽  
2021 ◽  
Author(s):  
Ningquan Wang ◽  
Ruxiu Liu ◽  
Norh Asmare ◽  
Chia-Heng Chu ◽  
Ozgun Civelekoglu ◽  
...  

An adaptive microfluidic system changing its operational state in real-time based on cell measurements through an on-chip electrical sensor network.


2014 ◽  
Vol 889-890 ◽  
pp. 958-961
Author(s):  
Huan Ming Chen

It is very important to simulate driver's manipulation for people - car - road closed loop simulation system. In this paper, the driver model is divided into two parts, linear vehicle model is used to simulate the driver's driving experience, and closed-loop feedback is used to characterize the driver's emergency feedback. The lateral acceleration of vehicle is used as feedback in closed loop control. Simulation results show that the smaller lateral acceleration requires the less closed-loop feedback control. The driver model can accurately track the target path, which can be used to simulate the manipulation of the driver. The driver model can be used for people - car - road closed loop simulation to evaluate vehicle handling stability.


2020 ◽  
pp. 107754632095261
Author(s):  
Kashfull Orra ◽  
Sounak K Choudhury

The study presents model-based mechanism of nonlinear cutting tool vibration in turning process and the strategy of improving cutting process stability by suppressing machine tool vibration. The approach used is based on the closed-loop feedback control system with the help of electro–magneto–rheological damper. A machine tool vibration signal generated by an accelerometer is fed back to the coil of a damper after suitable amplification. The damper, attached under the tool holder, generates counter forces to suppress the vibration after being excited by the signal in terms of current. The study also discusses the use of transfer function approach for the development of a mathematical model and adaptively controlling the process dynamics of the turning process. The purpose of developing such mechanism is to stabilize the machining process with respect to the dynamic uncut chip thickness responsible for the type-II regenerative effect. The state-space model used in this study successfully checked the adequacy of the model through controllability and observability matrices. The eigenvalue and eigenvector have confirmed the stability of the system more accurately. The characteristic of the stability lobe chart is discussed for the present model-based mechanism.


CIRP Annals ◽  
2009 ◽  
Vol 58 (1) ◽  
pp. 287-290 ◽  
Author(s):  
Julian M. Allwood ◽  
Omer Music ◽  
Ankor Raithathna ◽  
Stephen R. Duncan

2004 ◽  
Vol 10 (1) ◽  
pp. 25-38
Author(s):  
Fenglin Wang ◽  
Chris K Mechefske

In this paper we apply a filtered-X algorithm to an active feedback control structure and derive the transfer function of a closed-loop control system. Simulation studies are then carried out on the closed-loop property while varying the parameters (input frequency, delays in plant, amplitude and phase of modeling filter). Several properties of adaptive feedback control are revealed. Experimental studies on feedback active noise control of noise in a finite duct and a small enclosure are described, and outstanding active noise control effects are achieved. Experimental results of closed-loop frequency response are also provided.


2020 ◽  
Vol 14 (3) ◽  
pp. 034101
Author(s):  
Yanjun Xie ◽  
Adam J. Dixon ◽  
J. M. Robert Rickel ◽  
Alexander L. Klibanov ◽  
John A. Hossack

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