Decoupling Control of Outer Rotor Coreless Bearingless Permanent Magnet Synchronous Generator Based on Fuzzy Neural Network Inverse System

Abstract

The outer rotor coreless bearingless permanent magnet synchronous generator is a complex system with multi-variable, nonlinear and strong coupling. So the dynamic decoupling of generation voltage and suspension force is the key to realize stable power generation and reliable operation. In this paper, a decoupling control method based on fuzzy neural network inverse system is proposed. Firstly, the basic structure and working principle of the outer rotor coreless bearingless permanent magnet synchronous generator is introduced in this paper and the mathematical model of the generating voltage and suspension force is established. Then, based on the reversibility analysis of the mathematical model, the inverse system is constructed by using fuzzy neural network. By connecting the inverse system in series with the original system, the original nonlinear system is decoupled into three single-input and single-output linear subsystems. Finally, the designed control system is simulated and experimentally studied. The simulation and experimental results show that this control method can realize decoupling among generation voltage and suspension forces, and the outer rotor coreless bearingless permanent magnet synchronous generator has good dynamic performance and stability.