Based on fuzzy-neural network of high speed linear induce motor efficiency optimization (HSLIMEO)

Electromagnetic aircraft launch system (EMALS) use linear motor to accelerate aircraft to launch speed. This paper presents a new method based on fuzzy-neural of HSLIMEO. It is important to improve efficiency not only saving economic and energy, but also reducing environmental pollution. To optimize efficiency, fuzzy controller combined with field-oriented scheme is proposed to work to optimize flux during transients, and neural network state-observe (NNSO) is adopted to predict steady-state condition time for the rotor flux. The drive system with the proposed efficiency optimization controller has been simulated with high speed linear induce motor. The desired result is to increase the overall efficiency of the motor by bringing the rotor flux wave up to its desired level before the actual acceleration begins.