Abstract

Due to the inevitable phenomena that various uncertainty factors in the servo mechanisms severely affect the output motion accuracy and the exact statistic characteristics of uncertainties may extremely difficult to be gained since the lack of sample information in practice, the non-probabilistic dynamic reliability assessment and optimization with high confidence and efficiency is of great significance for scientists and engineers. In view of this, this study develops a novel approach of non-probabilistic reliability based controller design for servo mechanisms and the related solution details are further expounded. The uncertainty quantification of dynamic response is conducted by the combination of the first-order Taylor expansion and interval mathematics. The non-probabilistic reliability with consideration of time-dependency for servo mechanisms is obtained by the first passage theory and interval process model. By comparing with the Monte–Carlo simulations (MCS) and the robust design approach, the accuracy of proposed reliability index and the applicability of the developed reliability based controller design method are demonstrated in two numerical examples.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.