4.7 Article

Uncertainty-oriented optimal PID control design framework for piezoelectric structures based on subinterval dimension-wise method (SDWM) and non-probabilistic time-dependent reliability (NTDR) analysis

期刊

JOURNAL OF SOUND AND VIBRATION
卷 549, 期 -, 页码 -

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jsv.2023.117588

关键词

Piezoelectric vibration control; Interval uncertainties; PID control; The subinterval dimension-wise method; The time-dependent reliability

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This paper proposes an NTDR reliability optimization framework for the piezoelectric active control system to solve the uncertainty problems in the system. A new controller design method is introduced using the response interval of the closed-loop system calculated by the novel SDWM. A new time-dependent reliability index is defined to calculate the time-dependent reliability of the piezoelectric system. The method's accuracy is validated through a Monte Carlo algorithm.
Piezoelectric system is widely used in vibration control, but due to the influence of uncertainty in the system, the control rate designed for determined system may not meet the design requirements in practical application. In order to solve the uncertainty problems in the system, a set of NTDR reliability optimization framework for piezoelectric active control system is proposed in this paper. Taking the most widely used PID controller as an example, a new controller design method is proposed: the response interval of the closed-loop system is calculated by the novel SDWM. Based on the first crossing theory, a new time-dependent reliability index is defined to calculate the time-dependent reliability of the piezoelectric system. Through an example of piezoelectric laminate, the layout of different piezoelectric materials is compared. Then, taking piezoelectric curved shell as an example, the influence of piezoelectric uncertainty and uncertainty parameter radius on vibration control of piezoelectric system is studied. Finally, the accuracy of the method is verified by Monte Carlo algorithm.

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