A novel robust and fuzzy observer-based speed control method for permanent magnet synchronous motor drive systems

The accuracy of control and resistance in Permanent magnet synchronous motor (PMSM) motor drive systems has long been a significant concern for researchers. This paper tackles these challenges by introducing a control structure that enhances the system's performance, making it resilient against model uncertainties, disturbances, sudden load variations, and chattering phenomena. In other words, this paper suggests a novel robust, and fuzzy observer-based control method for PMSM speed drive systems. In this method, a state feedback controller is designed using dissipativity theory in a linear matrix inequalities context. This controller is robust against disturbances and uncertainties, and it places the speed-tracking error within a predetermined bound after a predefined time. On the other hand, a load torque observer according to sliding mode is developed, whose coefficients are updated by a fuzzy system. This observer significantly reduces chattering and accurately estimates the load torque. The estimated load torque is used to correct the control law, and ultimately, the desired motor speed tracking is achieved with high precision and convergence speed. The proposed approach is evaluated through a laboratory implementation and its superiority is evident compared to other methods.