Research Article
Feedback Control Systems Stabilization Using a Bio-inspired Neural Network
@ARTICLE{10.4108/airo.v1i.17, author={Spyridon Mourtas and Vasilios Katsikis and Chrysostomos Kasimis}, title={Feedback Control Systems Stabilization Using a Bio-inspired Neural Network}, journal={EAI Endorsed Transactions on AI and Robotics}, volume={1}, number={1}, publisher={EAI}, journal_a={AIRO}, year={2022}, month={2}, keywords={Beetle Antennae Search, Neural networks, PID controller, WASD, Feedback control systems}, doi={10.4108/airo.v1i.17} }
- Spyridon Mourtas
Vasilios Katsikis
Chrysostomos Kasimis
Year: 2022
Feedback Control Systems Stabilization Using a Bio-inspired Neural Network
AIRO
EAI
DOI: 10.4108/airo.v1i.17
Abstract
The proportional–integral–derivative (PID) control systems, which have become a standard for technical and industrial applications, are the fundamental building blocks of classical and modern control systems. In this paper, a three-layer feed-forward neural network (NN) model trained to replicate the behavior of a PID controller is employed to stabilize control systems through a NN feedback controller. A novel bio-inspired weights-and-structure-determination (BIWASD) algorithm, which incorporates a metaheuristic optimization algorithm dubbed beetle antennae search (BAS), is used to train the NN model. More presicely, the BIWASD algorithm identifies the ideal weights and structure of the BIWASD-based NN (BIWASDNN) model utilizing a power sigmoid activation function while handling model fitting and validation. The results of three simulated trials on stabilizing feedback control systems validate and demonstrate the BIWASDNN model’s exceptional learning and prediction capabilities, while achieving similar or better performance than the corresponding PID controller. The BIWASDNN model is compared to three other high-performing NN models, and a MATLAB repository is accessible in public through GitHub to encourage and enhance this work.
Copyright © 2022 Spyridon D. Mourtas et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.