Simulation of Sensorless Control Model for Permanent Magnet Synchronous Motor Based on Sliding Mode Observer

We will conduct a simulation of the sensorless control model for permanent magnet synchronous motors (PMSM) based on a sliding mode observer (SMO) to investigate the performance and applicability of this control scheme under various operating conditions. This model implementation will incorporate the physical characteristics of the motor and control principles, considering different working loads and external disturbance scenarios. The simulation code will include key functions for SMO implementation, such as switching function calculation, observer gain tuning, and back-EMF estimation algorithms. We will analyze and evaluate controller stability through Lyapunov stability criteria and explore optimization strategies for adapting the control scheme to broader application scenarios. The algorithm will feature real-time speed and position estimation without physical sensors, using mathematical models of PMSM dynamics. Through this simulation study, we aim to provide theoretical and practical guidance to advance the development and application of PMSM control technologies.