•  
  •  
 

Abstract

This study analyzes methods of fault-tolerant control and automatic fault diagnosis in servo systems considering dynamic redundancy. The application of diagnostic and fault-tolerant control methods is critical for addressing reliability and safety challenges in servo systems. Dynamic redundancy ensures the ability to respond quickly to faults in individual system components and minimizes their impact on overall system performance. The research examines approaches to fault detection, ensuring continuous operation of automated systems, and methods for their effective resolution. The practical significance of the study lies in the use of modern technologies to enhance the performance and fault tolerance of servo systems.

First Page

154

Last Page

159

References

1. Rudenko, N.I., Rudenko, M.I. (2018). Fundamentals of fault-tolerant management. Moscow: Nauka Publ.

2. Kuznetsov, V.P. (2017). Diagnostics of malfunctions in automatic control systems. Saint-Petersburg: Politechnika Publ.

3. Ivanov, S. A., Smirnov, A. P. (2019). Methods and algorithms of fault-tolerant control in servosystems. Novosibirsk: SibGU Publ.

4. Yakovlev, Yu.A., Barsukov, A.V. (2020). Dynamic redundancy and its application in modern control systems. Moscow: Energiya Publ.

5. Fedorenko, I.V. (2016). Theory and practice of fault diagnostics in robotic systems. Yekaterinburg: UrFU Publ.

6. Protasov, V.A. (2015). Servos and their control: from theory to practice. Kazan: Kazan University Publ.

7. Belyaev, A.B. (2018). Modern methods of improving the reliability and fault tolerance of automated systems. Moscow: ITMO.

8. Solovev, A.G., Chernov, V.M. (2017). Ensuring reliability in robotic and automated systems. St. Petersburg: BHV-Petersburg.

9. Dyakov, N.I. (2021). Automation of management processes using diagnostics and redundancy. Tomsk: Tomsk University Press.

10. Petrov, O.V. (2018). Methods of diagnostics and control taking into account failures in servosystems. St. Petersburg: Nevsky University Publ.

Included in

Engineering Commons

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.