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Self-tuning PID control of a brushless DC motor by adaptive interaction
Tayfun Gundogdu
*
,
Guven Komurgoz
*
Corresponding author for this work
Energy Institute
Department of Electrical Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
8
Citations (Scopus)
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Keyphrases
Brushless DC Motor (BLDCM)
100%
Proportional-integral-derivative Controller
100%
Adaptive Interaction
100%
Adaptation
50%
Proportional Integral Derivative
50%
Artificial Neural Network
25%
Controller
25%
Loading Conditions
25%
Interaction Approach
25%
Adaptive Algorithm
25%
Gradient Method
25%
Back Propagation Algorithm
25%
Calculation Time
25%
Velocity Control
25%
Frequency Response
25%
Self-tuning Algorithm
25%
Artificial Neural Network Controller
25%
Approach Theory
25%
Tuning Algorithm
25%
Feedback Network
25%
Changing Load
25%
Derivative Gain
25%
Adaptation Process
25%
Interconnected Subsystems
25%
Engineering
Derivative Controller
100%
Proportional-Integral-Derivative Control
100%
Simulation Result
50%
Load Condition
50%
Gradient Descent
50%
Backpropagation Algorithm
50%
Neural Network Controller
50%
Frequency Response
50%
Derivative Gain
50%
Feedback Network
50%
Adaptation Process
50%
Artificial Neural Network
50%