Smart Structures and Systems

  • 제32권6호
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  • Pages.359-369
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  • 2023
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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Servo control strategy for uni-axial shake tables using long short-term memory networks

  • Pei-Ching Chen (Department of Civil and Construction Engineering, National Taiwan University of Science and Technology) ;
  • Kui-Xing Lai (Department of Civil and Construction Engineering, National Taiwan University of Science and Technology)
  • 투고 : 2023.03.03
  • 심사 : 2023.11.09
  • 발행 : 2023.12.25
⟨ 이전 논문 다음 논문 ⟩

초록

Servo-motor driven uniaxial shake tables have been widely used for education and research purposes in earthquake engineering. These shake tables are mostly displacement-controlled by a digital proportional-integral-derivative (PID) controller; however, accurate reproduction of acceleration time histories is not guaranteed. In this study, a control strategy is proposed and verified for uniaxial shake tables driven by a servo-motor. This strategy incorporates a deep-learning algorithm named Long Short-Term Memory (LSTM) network into a displacement PID feedback controller. The LSTM controller is trained by using a large number of experimental data of a self-made servo-motor driven uniaxial shake table. After the training is completed, the LSTM controller is implemented for directly generating the command voltage for the servo motor to drive the shake table. Meanwhile, a displacement PID controller is tuned and implemented close to the LSTM controller to prevent the shake table from permanent drift. The control strategy is named the LSTM-PID control scheme. Experimental results demonstrate that the proposed LSTM-PID improves the acceleration tracking performance of the uniaxial shake table for both bare condition and loaded condition with a slender specimen.

키워드

과제정보

The research described in this paper was financially supported by the Ministry of Science and Technology of Taiwan (MOST 108-2221-E-011-006-MY2) which has become National Science and Technology Council (NSTC) since on July 27, 2022. Meanwhile, the shake table fabrication was supported by the Higher Education Sprout Project from the Ministry of Education in Taiwan.

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