FPGA-based adaptive dynamic sliding-mode neural control for a brushless DC motor

Keyphrases

• FPGA-based 100%
• Brushless DC Motor (BLDCM) 100%
• Neural Control 100%
• Adaptive Dynamics 100%
• Dynamic Sliding Mode 100%
• Neural Network Controller 75%
• Approximation Error 75%
• Neural Control System 75%
• Chatter 50%
• Fuzzy Compensator 50%
• Adaptive Neural Control 50%
• High Performance 25%
• Field Programmable Gate Arrays 25%
• Control Performance 25%
• Industrial Application 25%
• Neural Network 25%
• Control Scheme 25%
• Learning Algorithm 25%
• Radial Basis Function Neural Network (RBFNN) 25%
• Tracking Controller 25%
• Tracking Error 25%
• Control Design 25%
• Lyapunov Function 25%
• Controller Parameters 25%
• Control Effort 25%
• Adaptive Learning 25%
• Array chip 25%
• Cost Performance 25%
• System Stability 25%
• Time Application 25%
• Main Controller 25%
• Proportional Integral 25%
• Error Parameter 25%
• Integral Type 25%
• Hidden Neurons 25%
• Switching Compensator 25%

Engineering

• Field Programmable Gate Arrays 100%
• Sliding Mode 100%
• Neural Controller 75%
• Neural Control System 75%
• Experimental Result 25%
• Industrial Applications 25%
• Control Scheme 25%
• Control Design 25%
• Learning Algorithm 25%
• Radial Basis Function 25%
• Lyapunov Function 25%
• Controller Parameter 25%
• Systems Stability 25%
• Hidden Neuron 25%