Application and the parameter tuning of ADRC based on BFO-PSO algorithm

Author

Chunfang Liu ; Yang Chu ; Limei Wang ; Yuxian Zhang

Author_Institution

Sch. of Electr. Eng., Shenyang Univ. of Technol., Shenyang, China

fYear

2013

fDate

25-27 May 2013

Firstpage

3099

Lastpage

3102

Abstract

In order to overcome the difficulty in tuning multi-parameters of active disturbance rejection controller (ADRC), bacterial foraging optimization (BFO) algorithm was introduced. Considering the slow convergence of BFO algorithm and the good convergence of particle swarm optimization (PSO) algorithm, the parameter tuning of ADRC based BFO and PSO algorithm was proposed. The control method is applied to permanent magnet linear synchronous motor (PMLSM) control system used by numerically-controlled machine tool, and the simulations show that the ADRC with parameters optimized by BFO-PSO optimization algorithm has good control performance.

Keywords

linear motors; machine control; machine tools; numerical control; parameter estimation; particle swarm optimisation; permanent magnet motors; synchronous motors; ADRC; BFO-PSO algorithm; PMLSM control system; active disturbance rejection controller; bacterial foraging optimization; multiparameter tuning; numerically-controlled machine tool; parameter tuning; particle swarm optimization; permanent magnet linear synchronous motor control system; Algorithm design and analysis; Control systems; Convergence; Microorganisms; Optimization; Particle swarm optimization; Tuning; Active Disturbance Rejection; BFO-PSO; PMLSM; Parameter Tuning; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2013 25th Chinese

Conference_Location

Guiyang

Print_ISBN

978-1-4673-5533-9

Type

conf

DOI

10.1109/CCDC.2013.6561478

Filename

6561478