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

被引：0
|
作者：
Hmidene A. [1 ]
Bennasr H. [2 ]
M'Sahli F. [3 ]
机构：
[1] Department of Electrical engineering, Higher Institute of Technological Studies Erriadh City, P. O. B. 35, Sousse
[2] Department of Electrical engineering, Higher Institute of Technological Studies EL Bustan City, P. O. B 88A, Sfax
[3] Department of Electrical Engineering, National Engineering School of Tunis, P. O. B. 176, Tunis
来源：
Periodica polytechnica Electrical engineering and computer science | 2024年 / 68卷 / 02期
关键词：
fast systems; neural network; predictive control; STM32; volterra model;
D O I：
10.3311/PPee.23033
中图分类号：
学科分类号：
摘要：
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. © 2024 Budapest University of Technology and Economics. All rights reserved.
引用
收藏
页码：115 / 123
页数：8
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