Application of a clustering adaptive fuzzy logic controller in a brushless DC drive

Author

Johnson, James P. ; Rahman, K.M. ; Ehsani, M.

Author_Institution

Power Electron. Lab., Texas A&M Univ., College Station, TX, USA

Volume

3

fYear

1997

fDate

9-14 Nov 1997

Firstpage

1001

Abstract

A clustering adaptive fuzzy logic system (CAFLS) is proposed as a high performance controller in a brushless DC (BLDC) motor drive. Objectives of the proposed system include elimination of speed ripple due to cogging at low speeds under heavy load as well as good dynamic response. The CAFLS implemented has the advantages of computational simplicity and self-tuning characteristics

Keywords

DC motor drives; adaptive control; brushless DC motors; control system analysis; dynamic response; fuzzy control; machine control; machine testing; machine theory; brushless DC motor drive; clustering adaptive fuzzy logic control; computational simplicity; control design; control performance; control simulation; dynamic response; heavy load; high performance controller; low-speed cogging; self-tuning characteristics; speed ripple elimination; Adaptive control; Adaptive systems; Control systems; Error correction; Forging; Fuzzy logic; Motion control; Programmable control; Pulse width modulation inverters; Torque;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control and Instrumentation, 1997. IECON 97. 23rd International Conference on

Conference_Location

New Orleans, LA

Print_ISBN

0-7803-3932-0

Type

conf

DOI

10.1109/IECON.1997.668413

Filename

668413