Aging-free estimationless sliding mode control for IPMSM in transportation system

As equipment ages, the distortion of relevant parameters leads to increasingly severe degradation in control performance. This paper proposes a novel aging-free estimationless sliding mode control strategy for interior permanent magnet synchronous motor (IPMSM) in low-carbon transportation systems. Firstly, a time-varying disturbance (TVD)-based aging model is proposed. The TVD integrates multi-stage dynamic disturbance transition models for various aging parameters of the IPMSM. Then, a multi-condition correction (MCC)-based sliding mode current control method is proposed. The MCC associates the sliding surface parameters with the temporal factor and integrates the correction functions in the reaching law. Finally, the stability conditions are derived based on the Lyapunov function. The proposed strategy is validated by the hardware-in-the-loop (HIL)-based platform. The test results show that the proposed strategy can reduce the current control error of the aging motor, thereby reducing system power losses and significantly enhancing the operational efficiency of the aging IPMSM for the low-carbon transportation system.