Synchronization of a 4D Hyperchaotic System with Active Disturbance Rejection Control and Its Optimization via Particle Swarm Algorithm
Author:
Open Access
- 1 January 2024
- journal article
- research article
- Published by Afyon Kocatepe Universitesi Fen Ve Muhendislik Bilimleri Dergisi in Afyon Kocatepe University Journal of Sciences and Engineering
- Vol. 24 (2) , 465-475
Abstract
In this paper, a synchronization study is proposed by using a 4D hyperchaotic system model to be used in secure data transfer applications. Active Disturbance Rejection Control (ADRC) method is used for synchronization process. To prove the success of ADRC method, it is compared with Proportional-Integral-Derivative (PID) control method. The coefficients of both control methods are optimized with Particle Swarm Optimization (PSO) algorithm. Synchronization system is modelled and tested in Matlab/Simulink environment. ADRC and PID methods are tested in simulation environment for the cases without disturbance and under disturbance. It can be seen from the test results that the ADRC method managed to keep the system synchronous without being affected by any disturbances. On the other hand, it is clearly seen that the PID method cannot maintain the synchronization of system under disturbance effects.Keywords
Funding Information
- Balikesir University (BAP-2023/179)
This publication has 32 references indexed in Scilit:
- A novel five-term 3D chaotic system with cubic nonlinearity and its microcontroller-based secure communication implementationAEU - International Journal of Electronics and Communications, 2022
- Pareto-Based Multi-objective Optimization for Fractional Order $\hbox {PI}^{\lambda }$ PI λ Speed Control of Induction Motor by Using Elman Neural NetworkArabian Journal for Science and Engineering, 2018
- Active disturbance rejection control: Old and new resultsAnnual Reviews in Control, 2017
- Chaos Modeling and Control Systems Design2015
- Genetic algorithm tuned PI controller on PMSM simplified vector controlJournal of Central South University, 2013
- Chaos in economics and financeAnnual Reviews in Control, 2009
- Handbook of Chaos Control2007
- Particle swarm optimizationSwarm Intelligence, 2007
- Control of chaos: Methods and applications in engineeringAnnual Reviews in Control, 2005
- PID Control2005