A novel sliding mode control for BLDC motor network control system

In order to improve the dynamic response speed, and the disturbance rejection capability of the brushless direct current motor network control system, in this paper, a new adaptive fuzzy sliding mode control (AFSMC) strategy was developed. In the AFSMC algorithm, two sliding mode control methods are used, the sliding mode control method based on the reaching term or that based on the equivalent control. According to the value range of the sliding switch function, the output of the sliding mode controller can be switched. So the chattering phenomena and the system stability will be improved. The control law of the adaptive fuzzy sliding mode controller is regulated by the adaptive fuzzy control algorithm based on the output of the sliding mode controller to decrease the influence of the network undetermined delay in the network control system. In addition, the model of the BLDC motor is established and the fuzzy sliding mode controller was derived. Simulation results show that the proposed method is effective and enhanced the dynamic performance of the system.