Hybrid intelligent control method and system for power generating apparatuses

This invention describes a smart control system designed for power generators, specifically for variable-speed wind turbines. It uses two main components: one that employs 'fuzzy logic' to precisely control the turbine's rotational speed for maximum power output, and another that uses a 'neural network' to adjust the turbine's blade angle for optimal efficiency, even learning and adapting in real-time. The system aims to maximize power generation by continuously optimizing both speed and blade pitch.

Why it matters: In 2011, implementing real-time, online-trained neural networks on embedded systems was computationally demanding. Today, advancements in edge computing and embedded AI make such complex adaptive control systems significantly more feasible and efficient for real-world deployment in wind turbines.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedSoftware logic, control algorithms, embedded systems

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