Performance Comparison of Predictive Functional Speed Controller Based on Extended State and Sliding Mode Disturbance Observers

Predictive Functional Control (PFC) serves as a pivotal bridge between the intricate Model Predictive Control (MPC) and PI(D)-based control paradigms. Characterized as a simplified MPC leveraging predictive techniques, PFC is designed for implementation with basic software and cost-effective hardware. However, the traditional PFC technique exhibits limitations in situations marked by significant disturbances. Addressing this, a feedforward compensation loop is proposed for instant disturbance rejection. In this context, the Extended State Observer (ESO) and Sliding-Mode Observer (SMO) emerge as promising observers. This work evaluates the PFC approach by employing ESO and SMO as disturbance estimators in the control of Permanent Magnet Synchronous Motors (PMSMs). PMSMs, renowned for nonlinearity and uncertainty, pose challenges to control methodologies. The observers assess the lumped disturbance of the controlled plant, utilizing state feedback to achieve optimal control performance. The paper concludes with a comprehensive comparison of simulation results to identify the most suitable option for the specific application. This research contributes valuable insights to enhance control strategies for PMSMs in the presence of disturbances, with implications for practical implementation.