Control Strategy of Synchronous Reluctance Motor Using Empirical Information Brain Emotional Learning Based Intelligent Controller Considering Magnetic Saturation
نویسندگان
چکیده
The synchronous reluctance motor (SynRM) has significant nonlinear characteristics due to the problems of magnetic saturation and cross-coupling poor adaptability general controller parameter changes seriously affects control performance motor. In order solve above problems, this paper proposed a system for SynRM with brain emotion based on empirical information problem saturation. Firstly, mathematical model considering is established by introducing parameter. Secondly, sensory input function emotional cue systematic error are given vector designed. influence parameters learning rate intelligent (EI-BELBIC) adjustment range studied. Then controlled under different working conditions effect observed. results show that designed EI-BELBIC strong reliability, accurate control, rapid response, anti-interference ability
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2023
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app13095327