Design of a Smart Pressure Transmitter and Its Temperature Compensation Using Artificial Neural Network

Sinha, Sujata; Mandal, Nirupama

doi:10.1007/s40313-018-00430-1

Cited by 5 publications

(1 citation statement)

References 25 publications

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“…Nevertheless, the required perpetual stability and sensitive preciseness of the reference voltage value necessitate optimal design and the application of controllers for the MEMS voltage references or TCs. The recent control methods demonstrate that efficient control techniques are employed for MEMS and other mechatronic systems to reduce error and enhance performance: Adaptive Sliding Mode Control (ASMC) with application to MEMS gyroscope [12], control of uncertain systems [29], disturbance rejection control with application to aerospace engineering [40], Artificial Neural Network (ANN) based adaptive control [38] and fuzzy adaptive control [37]. In particular, fuzzy control has gained a lot of interests in performance enhancement for MEMS device drive and operation.…”

Section: Introductionmentioning

confidence: 99%

Design of a fuzzy PID controller for a MEMS tunable capacitor for noise reduction in a voltage reference source

et al. 2021

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This study presents a conventional Ziegler-Nichols (ZN) Proportional Integral Derivative (PID) controller, having reviewed the mathematical modeling of the Micro Electro Mechanical Systems (MEMS) Tunable Capacitors (TCs), and also proposes a fuzzy PID controller which demonstrates a better tracking performance in the presence of measurement noise, in comparison with conventional ZN-based PID controllers. Referring to importance and impact of this research, the proposed controller takes advantage of fuzzy control properties such as robustness against noise. TCs are responsible for regulating the reference voltage when integrated into Alternating Current (AC) Voltage Reference Sources (VRS). Capacitance regulation for tunable capacitors in VRS is carried out by modulating the distance of a movable plate. A successful modulation depends on maintaining the stability around the pull-in point. This distance regulation can be achieved by the proposed controller which guarantees the tracking performance of the movable plate in moving towards the pull-in point, and remaining in this critical position. The simulation results of the tracking performance and capacitance tuning are very promising, subjected to measurement noise. Article Highlights This article deals with MEMS tunable capacitor dynamics and modeling, considering measurement noise. It designs and applies fuzzy PID control system for regulating MEMS voltage reference output. This paper contributes to robustness increase in pull-in performance of the tunable capacitor.

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