Self-tuning single input fuzzy controller for a synchronous reluctance motor

Author

Chao-Ting Chu ; Huann-Keng Chiang ; Kuo-Chih Chung ; Tzu-Chieh Lin

Author_Institution

Grad. Sch. of Eng. Sci. & Technol., Nat. Yunlin Univ. of Sci. & Technol., Douliou, Taiwan

fYear

2014

fDate

7-10 May 2014

Firstpage

1

Lastpage

4

Abstract

The proposed of this paper is self-tuning single input fuzzy controller (SSIFC) speed control for synchronous reluctance motor (SynRM). Traditional fuzzy controller used system error and differential error in fuzzy inputs. The simple structure SSIFC reduced calculation complexity is proposed in this paper. SSIFC used speed error and online learning algorithms to training fuzzy output rules. We used the Lyapunov theory to ensure SSIFC converges. Finally, the experimental results validated SSIFC has satisfactory performance than PID controller in SynRM.

Keywords

Lyapunov methods; adaptive control; angular velocity control; fuzzy control; learning (artificial intelligence); machine control; reluctance motors; self-adjusting systems; Lyapunov theory; SSIFC convergence; SSIFC speed control; SynRM; fuzzy output rule training; online learning algorithms; self-tuning single input fuzzy controller speed control; speed error; synchronous reluctance motor; Equations; Mathematical model; Reluctance motors; Torque; Velocity control; Fuzzy controller; Lyapunov theory; online learning; simple structure; synchronous reluctance motor;

fLanguage

English

Publisher

ieee

Conference_Titel

Next-Generation Electronics (ISNE), 2014 International Symposium on

Conference_Location

Kwei-Shan

Type

conf

DOI

10.1109/ISNE.2014.6839368

Filename

6839368