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An Optimized Triggering Algorithm for Event-Triggered Control of Networked Control Systems

Author

Listed:
  • Sunil Kumar Mishra

    (School of Electrical Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, India)

  • Amitkumar V. Jha

    (School of Electrical Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, India)

  • Vijay Kumar Verma

    (Control and Digital Electronics Group, U R Rao (ISRO) Satellite Centre Department of Space, Government of India, Bengaluru 560017, India)

  • Bhargav Appasani

    (School of Electrical Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, India)

  • Almoataz Y. Abdelaziz

    (Faculty of Engineering and Technology, Future University in Egypt, 90th St, First New Cairo, Cairo Governorate, Cairo 11835, Egypt)

  • Nicu Bizon

    (Faculty of Electronics, Communication and Computers, University of Pitesti, 110040 Pitesti, Romania
    Doctoral School, Polytechnic University of Bucharest, 313 Splaiul Independentei, 060042 Bucharest, Romania
    ICSI Energy, National Research and Development Institute for Cryogenic and Isotopic Technologies, 240050 Ramnicu Valcea, Romania)

Abstract

This paper presents an optimized algorithm for event-triggered control (ETC) of networked control systems (NCS). Initially, the traditional backstepping controller is designed for a generalized nonlinear plant in strict-feedback form that is subsequently extended to the ETC. In the NCS, the controller and the plant communicate with each other using a communication network. In order to minimize the bandwidth required, the number of samples to be sent over the communication channel should be reduced. This can be achieved using the non-uniform sampling of data. However, the implementation of non-uniform sampling without a proper event triggering rule might lead the closed-loop system towards instability. Therefore, an optimized event triggering algorithm has been designed such that the system states are always forced to remain in stable trajectory. Additionally, the effect of ETC on the stability of backstepping control has been analyzed using the Lyapunov stability theory. Two case studies on an inverted pendulum system and single-link robot system have been carried out to demonstrate the effectiveness of the proposed ETC in terms of system states, control effort and inter-event execution time.

Suggested Citation

  • Sunil Kumar Mishra & Amitkumar V. Jha & Vijay Kumar Verma & Bhargav Appasani & Almoataz Y. Abdelaziz & Nicu Bizon, 2021. "An Optimized Triggering Algorithm for Event-Triggered Control of Networked Control Systems," Mathematics, MDPI, vol. 9(11), pages 1-22, May.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:11:p:1262-:d:566290
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    References listed on IDEAS

    as
    1. Sunil Kumar Mishra & Bhargav Appasani & Amitkumar Vidyakant Jha & Izaskun Garrido & Aitor J. Garrido, 2020. "Centralized Airflow Control to Reduce Output Power Variation in a Complex OWC Ocean Energy Network," Complexity, Hindawi, vol. 2020, pages 1-16, August.
    2. Mayank Kumar Gautam & Avadh Pati & Sunil Kumar Mishra & Bhargav Appasani & Ersan Kabalci & Nicu Bizon & Phatiphat Thounthong, 2021. "A Comprehensive Review of the Evolution of Networked Control System Technology and Its Future Potentials," Sustainability, MDPI, vol. 13(5), pages 1-39, March.
    3. Maurice Clerc, 2010. "Beyond Standard Particle Swarm Optimisation," International Journal of Swarm Intelligence Research (IJSIR), IGI Global, vol. 1(4), pages 46-61, October.
    4. Cui, Lili & Zhang, Yong & Wang, Xiaowei & Xie, Xiangpeng, 2021. "Event-triggered distributed self-learning robust tracking control for uncertain nonlinear interconnected systems," Applied Mathematics and Computation, Elsevier, vol. 395(C).
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