Demonstrates enhanced control of DC motors through a fuzzy neural network approach, indicating improved efficiency.
Based on the uncertainty and control effect of electronic DC motors, a neural network algorithm, fuzzy control, and fuzzy neural network are designed. First, a small signal model controlled by a virtual direct filter motor is developed, and the stability and dynamic characteristics of the control strategy are analyzed. Next, the influence of the distribution map of the system based on the closed-loop transmission function, inertia coefficient, and step response curve is explored. Finally, the computer simulation analysis verifies the virtual inertial adaptive algorithm based on the fuzzy neural network.
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H Wang (2026) studied this question.
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