Predefined-Time Stabilization of Permanent-Magnet Synchronous Motor System with Deterministic and Stochastic Disturbances

This paper designs a predefined-time convergent continuous control algorithm to stabilize a permanent-magnet synchronous motor system. Three cases have been considered: disturbance-free, in presence of a deterministic disturbance satisfying a Lipschitz condition, and in presence of both a stochastic white noise and a deterministic disturbance satisfying a Lipschitz condition. The designed control law is free from the restrictions of exponential control growth and exact initial conditions knowledge. This is the first predefined-time convergent continuous control algorithm applied to stabilizing a permanent-magnet synchronous motor system with both deterministic and stochastic disturbances, which enables one to a priori set the predefined convergence time even in presence of various disturbances of different nature. Numerical simulations are provided for a permanent-magnet synchronous motor system to validate the obtained theoretical results in each of the three considered cases. The simulation results demonstrate that the employed values of the predefined-time convergent control inputs are applicable in practice.