Design of Nonlinear Optimization PID Controller for BLDCM Based on Neuro-Fuzzy Identified Model

Author

Qin, Guoping ; Yao, Wei ; Zhang, Wei

Author_Institution

Coll. of Electr. Eng., Zhejiang Univ., Hangzhou

Volume

2

fYear

2005

fDate

29-29 Sept. 2005

Firstpage

1524

Lastpage

1527

Abstract

A nonlinear optimization PID controller for BLDCM is designed. The design method is based on the fuzzy model for BLDCM other than conventional math model on some assumed conditions. The fuzzy model is gained through neuro-fuzzy identification. By virtue of nonlinear control design (NCD) toolbox in Matlab the controller is easily developed. Simulation and experiment result that the identified model fits the real BLDCM well and the designed controller has fairly strong robust performance

Keywords

brushless DC motors; control system synthesis; fuzzy control; identification; machine control; mathematics computing; neurocontrollers; nonlinear control systems; optimisation; three-term control; BLDCM; Matlab; PID controller design; neuro-fuzzy identified model; nonlinear control design; optimization; Design optimization; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Mathematical model; Pulse width modulation; Robust control; Three-term control; BLDCM; Neuro-Fuzzy Identified Model; Nonlinear Optimization PID Controller;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Machines and Systems, 2005. ICEMS 2005. Proceedings of the Eighth International Conference on

Conference_Location

Nanjing

Print_ISBN

7-5062-7407-8

Type

conf

DOI

10.1109/ICEMS.2005.202803

Filename

1575036