| Authors | عطیه کریم,سید عباس طاهر,محسن شفیعی راد |
| Journal | IEEE ACCESS |
| Page number | 96815 |
| Volume number | 14 |
| IF | ثبت نشده |
| Paper Type | Full Paper |
| Published At | 2026-06-30 |
| Journal Grade | Scientific - research |
| Journal Type | Electronic |
| Journal Country | Iran, Islamic Republic Of |
| Journal Index | JCR ,SCOPUS |
| Keywords | Brushless DC motors, finite, time convergence, Speed Control, sliding mode control, external disturbances, modeling uncertainties, actuator faults |
|---|
Abstract
This study introduces an innovative control framework for enhancing the reliability and
performance of Brushless DC Motors through advanced fault-tolerant techniques. The developed method-
ology combines terminal sliding mode control with a dual-estimation scheme to achieve simultaneous
finite-time convergence of system states, disturbances, and fault signals. Departing from conventional
approaches, the proposed solution uniquely decouples and independently estimates fault conditions and
external disturbances within guaranteed time bounds while ensuring rapid convergence of motor outputs to
reference trajectories. The architecture employs a novel composite observer structure, coupled with a robust
adaptive controller that features integral sliding surfaces. This method enables precise state estimation and
continuous control action while reducing chattering effects. Key innovations include: 1) unified finite-time
convergence of four critical control objectives - disturbance estimation, fault identification, observer stability,
and speed regulation; 2) a subsystem decomposition strategy for efficient fault/disturbance identification; and
3) adaptive compensation mechanisms for estimation error mitigation. Numerical validation demonstrates
the framework’s effectiveness in maintaining precise speed control under various fault scenarios and model-
ing uncertainties. Comparative results show significant improvements in transient response and disturbance
rejection over existing methods, particularly in applications demanding high reliability and rapid response
times.