New Fuzzy-Based Adaptive Control Design for Chaotic Permanent Magnet Synchronous Motors

In this paper, a new adaptive control approach based on fuzzy neural networks was proposed to control a chaotic permanent magnet synchronous motor. The proposed controller can suppress the chaotic oscillations and can achieve the tracking performance of the motor system. In contrast with the previous indirect fuzzy adaptive control approaches, the proposed control approach allows the controller to overcome the singularity problem, which may make the controlled systems unstable or even damaged. Finally, numerical simulations are carried out to demonstrate the advanced functions of the proposed control scheme.