Fuzzy Control Technology for Drive System of Switched Reluctance Motor

2011 ◽  
Vol 383-390 ◽  
pp. 285-289
Author(s):  
Guan Qun Sun ◽  
Bin Rui Wang

A fuzzy self-correction controller based on DSP (TMS320LF240) micro-controller was designed to solve the problem that traditional controller can’t meet the random disturbance parameters of reluctance motor having notable nonlinear. Parameters could be automatically adjusted and response is rapid. According to the demand that two windings provide electric power at the same time for switched reluctance motor (SR motor), the system adopted Mamdani model with two inputs, MAXMIN barycenter technique was used for judging manner. Fuzzy research table and driving software were designed. Experiment results with a 5.5KW SR motor illustrated that the four phases SRD with fuzzy control technology proposed in this paper has excellent driving character.

2013 ◽  
Vol 418 ◽  
pp. 100-103
Author(s):  
Shun Yuan Wang ◽  
Chwan Lu Tseng ◽  
Shou Chuang Lin ◽  
Jen Hsiang Chou ◽  
Yu Wen Chen ◽  
...  

This study adopts the fuzzy control theory to design a self-tuning fuzzy controller (STFC), which allows adjustment to overcome the controller design difficulty caused by switched reluctance motor (SRM) nonlinearity. Based on the torque sharing function (TSF), the proposed STFC was implanted into an SRM direct torque control (DTC) drive system to develop a system with superior speed and electromagnetic torque dynamic responses. In addition, the control strategy possessed excellent electromagnetic torque response, and effectively improved the dynamic response of the system. Keywords: fuzzy control theory, switched reluctance motor (SRM), torque sharing strategy.


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