Fuzzy Control Method for Flexible Manipulators Under Pulse Disturbance
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This paper presents a fuzzy control method for flexible manipulators operating under pulse disturbance conditions. The approach employs a T-S fuzzy controller trained through neural networks, with experimental results demonstrating excellent control performance. Beyond detailed simulation modules, the methodology includes comprehensive textual explanations covering algorithm implementation, key control functions, and disturbance rejection mechanisms. The implementation features neural network training algorithms for fuzzy rule optimization and pulse disturbance modeling techniques. This control strategy enhances positioning accuracy and stability of flexible manipulators in pulse disturbance environments through adaptive fuzzy logic compensation and neural network-based parameter tuning.
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