Title :
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
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;
Conference_Titel :
Next-Generation Electronics (ISNE), 2014 International Symposium on
Conference_Location :
Kwei-Shan
DOI :
10.1109/ISNE.2014.6839368
