A self-tuning PID controller based on analog-digital hybrid computing with a double-gate SnS2 memtransistor

Shania Rehman, Muhammad Farooq Khan, Hee Dong Kim, Sungho Kim

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Most commercial drones utilize a traditional proportional-integral-derivative (PID) controller because of its design simplicity. However, the traditional PID controller has certain limitations in terms of optimality and robustness; it is difficult to actively adjust the PID gains under some disturbances. In this study, we demonstrated an analog-digital hybrid computing platform based on double-gate SnS2 memtransistors to implement a self-tuning/energy-efficient PID controller in drones. The customized analog circuit with memtransistors executes the PID control algorithm with low power consumption; we experimentally verified that the energy consumption of the proposed hybrid computing-based PID controller is only 63% of that of the traditional PID controller. In addition, the precise tunability of analog conductance states in the memtransistor proved to be capable of reconfiguring the performance of the PID controller, where the developed self-tuning algorithm can automatically find the optimal PID control performance.

Original languageEnglish
Pages (from-to)13675-13684
Number of pages10
JournalNanoscale
Volume15
Issue number33
DOIs
StatePublished - 25 Jul 2023

Bibliographical note

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© 2023 The Royal Society of Chemistry.

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