IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v14y2023i5d10.1007_s13198-023-01967-4.html
   My bibliography  Save this article

An approach to optimize performance of controller in networked control system

Author

Listed:
  • Richa Sharma

    (Amity University Uttar Pradesh)

  • Purushottam Sharma

    (Amity University Uttar Pradesh)

  • Anshuman Singh

    (Amity University Uttar Pradesh)

  • Veer Srivastava

    (Amity University Uttar Pradesh)

Abstract

The Network Control System, which includes three different nodes connected through a band-limited real-time digital network, was created as a result of industry evaluations modifying their specifications. An adequately stabilized controller is critical to maximizing the industry’s production rate. In this study, PID controller parameters Kp, Ki, and Kd (Gain coefficients of P (Proportional), I (Integral) and D (Derivative) controller) have been stabilized by using the Particle Swarm Optimization method followed by which performance indices have been calculated to observe the error rate on the calculated Kp, Ki, and Kd values. Compared with typical PID tuning approaches, particle swarm optimization tuning for controller parameters improves process properties such as time-domain requirement, supply interruptions, error reductions, and enhanced system reaction time. MATLAB/Simulink was used to run the simulations.

Suggested Citation

  • Richa Sharma & Purushottam Sharma & Anshuman Singh & Veer Srivastava, 2023. "An approach to optimize performance of controller in networked control system," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(5), pages 1639-1646, October.
  • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:5:d:10.1007_s13198-023-01967-4
    DOI: 10.1007/s13198-023-01967-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-023-01967-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13198-023-01967-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ashraf F. Khalil & Jihong Wang, 2015. "Stability and Time Delay Tolerance Analysis Approach for Networked Control Systems," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-9, June.
    2. Purushottam Sharma & Kanak Saxena, 2017. "Application of fuzzy logic and genetic algorithm in heart disease risk level prediction," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1109-1125, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hadef Hefaidh & Djebabra Mébarek, 2020. "A conceptual framework for risk matrix capitalization," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(3), pages 755-764, June.
    2. Rasool Motahari & Yasser Saeidi Sough & Hamed Aboutorab & Morteza Saberi, 2021. "Joint optimization of maintenance and inventory policies for multi-unit systems," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(3), pages 587-607, June.
    3. Purushottam Sharma & Shaurya Kapoor & Richa Sharma, 2023. "Ransomware detection, prevention and protection in IoT devices using ML techniques based on dynamic analysis approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 287-296, February.
    4. Do Ngoc Tuyen & Tran Manh Tuan & Le Hoang Son & Tran Thi Ngan & Nguyen Long Giang & Pham Huy Thong & Vu Van Hieu & Vassilis C. Gerogiannis & Dimitrios Tzimos & Andreas Kanavos, 2021. "A Novel Approach Combining Particle Swarm Optimization and Deep Learning for Flash Flood Detection from Satellite Images," Mathematics, MDPI, vol. 9(22), pages 1-20, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:14:y:2023:i:5:d:10.1007_s13198-023-01967-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.