This article proposes a new adaptive gain, full-order terminal sliding mode control algorithm for the speed regulation of a surface-mounted permanent magnet synchronous motor (SPMSM) control system. To deal with the mismatched uncertainties in the double-loop nonlinear system of the SPMSMs, a virtual control technique is constructed with the full-order terminal sliding mode control to ensure that the tracking error trajectory can converge to equilibrium in finite time. Owing to the integral control law, the output signals of the controllers are smoothed, with the chattering phenomenon attenuated and the gain-margin overestimation avoided. Comprehensive simulation and experimental results have been carried out to demonstrate the superiority of the proposed method in improving tracking accuracy, rapidness, and robustness to the matched and mismatched uncertainties.

This study proposes an improved super-twisting sliding mode (STSM) control method for a brushless doubly fed induction generator (BDFIG) used in standalone ship shaft power generation systems. Focusing on the problem of the low tracking accuracy of the power winding (PW) voltages caused by the parameter perturbation of BDFIG systems, a mismatched uncertain model of the BDFIG is constructed. Additionally, an improved STSM control method is proposed to address the power load variation and compensate for the mismatched uncertainty through virtual control technology. Based on the direct vector control of the control winding (CW), the proposed method ensured that the voltage amplitude error of the power winding could converge to the equilibrium point rather than the neighborhood. Finally, in the experimental investigation of the BDFIG-based ship shaft independent power system, the dynamic performance in the startup and power load changing conditions were analyzed. The experimental results show that the proposed improved STSM controller has a faster dynamic response and higher steady-state accuracy than the proportional integral control and the linear sliding mode control, with strong robustness to the mismatched uncertainties caused by parameter perturbations.