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

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

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.

Key words: fractional-order chaotic system, linear ADRC, quantum-behaved particle swarm searching algorithm, cosine decreasing function

CLC Number:

TK730

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.

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