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Adaptive RBF Neural Network-Based Self-Tuning PID Control for BLDC Motor-Driven Robotic Joints

Accurate and robust control of robotic joints is essential for high-performance robotic systems. However, conventional proportional–integral–derivative (PID) controllers suffer from limited adaptability when applied to brushless direct current (BLDC) motor-driven joints operating under nonlinear and...

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Principais autores: Caixia Xue, Hui Bi, Lun Zhu
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2026-05-01
coleção:Applied Sciences
Assuntos:
robotic joints
brushless DC motor (BLDC motor)
self-tuning PID control
dynamic performance
RBF neural network
adaptive control
Acesso em linha:https://www.mdpi.com/2076-3417/16/9/4469
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