Implementation of New Predictive Control Based Volterra Model for Fast Dynamic Systems Using Microcontrollers: Real Time Application

Authors

  • Ali Hmidene
    Affiliation
    Department of Electrical engineering, Higher Institute of Technological Studies Erriadh City, P. O. B. 35, 4023 Sousse, Tunisia
  • Hichem Bennasr
    Affiliation
    Department of Electrical engineering, Higher Institute of Technological Studies EL Bustan City, P. O. B 88A, 3099 Sfax, Tunisia
  • Faouzi M'Sahli
    Affiliation
    Department of Electrical Engineering, National Engineering School of Tunis, P. O. B. 176, 1002 Tunis, Tunisia
https://doi.org/10.3311/PPee.23033

Abstract

This paper presents a new contribution in the implementation of Volterra model predictive control for fast dynamics systems. The control approaches considered results on a switch paradigm that combine an online part based on suboptimal solution and an offline part referred to an offline neural network controller. The proposed approach has an advantage in comparison with nonlinear optimization-based control schemes. A real time application on STM32 to control a boost converter is studied and the results show very remarkable performances in time computing.

Keywords:

predictive control, volterra model, fast systems, neural network, STM32

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Published Online

2024-03-04

How to Cite

Hmidene, A., Bennasr, H., M’Sahli, F. “Implementation of New Predictive Control Based Volterra Model for Fast Dynamic Systems Using Microcontrollers: Real Time Application”, Periodica Polytechnica Electrical Engineering and Computer Science, 68(2), pp. 115–123, 2024. https://doi.org/10.3311/PPee.23033

Issue

Vol. 68 No. 2 (2024)

Section

Articles