Chaos behavior has many advantages in motor systems such as improving mixing efficiency and it involves with one kind of problem called chaos anti-control. This paper focused on chaos anti-control problem in permanent magnet synchronous motor (PMSM) systems through chaos synchronization. By synchronizing PMSM system with a typical chaotic system, the chaos anti-control problem was studied, where a controller was derived to make the error dynamical system converge at origin point O(0, 0, 0). The theory foundation in point is Lyapunov stability theorem, and the study conclusion was verified by numerical simulations.
Fault detection and classification of permanent magnet synchronous motor in variable load and speed conditions using order tracking and machine learning
