Hybrid Self Tuned Fuzzy PID controller for speed control of Brushless DC Motor

被引:24
作者
Ramya, A. [1 ]
Imthiaz, A. [1 ]
Balaji, M. [1 ]
机构
[1] Anna Univ, SSN Coll Engn, Dept Elect & Elect Engn, Madras 603110, Tamil Nadu, India
关键词
BLDC motor drive; speed control; self tuned fuzzy logic controller; Hybrid controller; PID controller; NEURAL-NETWORK; IMPLEMENTATION; DESIGN; DRIVES;
D O I
10.7305/automatika.2017.02.1769
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The objective of the proposed work is to investigate the performance of hybrid self tuned fuzzy proportional integral derivative (STFPID) controller for brushless DC (BLDC) motor drive. The proposed hybrid STFPID controller includes a proportional integral derivative (PID) controller at steady state, a PID type self tuned fuzzy logic (FL) controller (STFLC) at transient state thereby combining the merits of both the controllers. The switching function incorporated in the controller ensures desired control response at various operating conditions by appropriately switching between PID and STFPID based on speed error. A detailed simulation study and performance comparison with other control approaches is performed to highlight the merits of the proposed work. The simulation results indicate that the proposed controller is robust with fast tracking capability and less steady state error. The experimental results are provided to validate the simulation study.
引用
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页码:672 / 679
页数:8
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