Improved PSO Algorithm-Based Online Optimization Design for ADRC Controller

This paper deals with the ADRC controller design. Aiming at its three main parameters related to interference rejection, a PSO algorithm-based on-line optimization method is proposed. In order to raise the efficiency of on-line optimization, two improvements are applied in the PSO algorithm, one is...

Full description

Saved in:
Bibliographic Details
Published in2012 International Conference on Computer Science and Service System pp. 1798 - 1801
Main Authors Zhou Guo-Dong, Zhang Dun-Li
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2012
Subjects
active disturbances rejection control (ADRC)
Algorithm design and analysis
Computational modeling
Delay systems system
Heuristic algorithms
Interference
Optimization
Particle swarm optimization
Particle Swarm Optimization (PSO)
Real-time systems
Strong interference system
Online AccessGet full text

Cover

More Information
Summary:This paper deals with the ADRC controller design. Aiming at its three main parameters related to interference rejection, a PSO algorithm-based on-line optimization method is proposed. In order to raise the efficiency of on-line optimization, two improvements are applied in the PSO algorithm, one is using the threshold of system error to trigger the PSO algorithm, and the other is using the Pareto elitism strategy in the PSO algorithm. The simulation results show that the proposed PSO-based ADRC controller has strong robustness and adaptability for the systems with large time delay and strong interference.
ISBN:9781467307215
1467307211
DOI:10.1109/CSSS.2012.448