Optimized Linear ADRC Control for a Class of Fractional-Order Chaotic Systems

Authors

Huang Yu, Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation, North China Electric Power University, Baoding 071003, China;
Xie Tian, Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation, North China Electric Power University, Baoding 071003, China;
Wu Rui, Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation, North China Electric Power University, Baoding 071003, China;

Abstract

Abstract: Linear active disturbance rejection control has many parameters and it is difficult to obtain appropriate parameters. Therefore, a quantum-behaved particle swarm optimization algorithm based on cosine decreasing function is proposed in this article for searching optimal LADRC parameters. In this algorithm, cosine decreasing function and updated equation of quantum-behaved particle swarm optimization algorithm are combined. By using the variable characteristic of cosine decreasing function with the increase of iteration times, the original global optimization ability of quantum particle swarm optimization is retained and its poor local optimization ability is overcome. And the simulation results show that the LADRC optimized by COSQPSO can suppress overshoot, reduce steady-state error, and has strong anti-jamming ability.

Recommended Citation

Yu, Huang; Tian, Xie; and Rui, Wu (2019) "Optimized Linear ADRC Control for a Class of Fractional-Order Chaotic Systems," Journal of System Simulation: Vol. 31: Iss. 10, Article 15.
DOI: 10.16182/j.issn1004731x.joss.17-0415
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss10/15

First Page

2093

Revised Date

2017-12-01

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.17-0415

Last Page

2102

CLC

TK730

Recommended Citation

Huang Yu, Xie Tian, Wu Rui. Optimized Linear ADRC Control for a Class of Fractional-Order Chaotic Systems[J]. Journal of System Simulation, 2019, 31(10): 2093-2102.

DOI

10.16182/j.issn1004731x.joss.17-0415