This research work designs an adaptive sensorless deadbeat control (AS-DBC) method for permanent magnet synchronous motors (PMSMs). The proposed AS-DBC effectively merges the merits of deadbeat control (DBC) for ensuring fast dynamic response while incorporating the outstanding features of adaptive control to enforce satisfactory control performance of PMSM drive systems such as insensitive to system perturbation, system mismatches, and parameter alterations, etc. Hence, merging these two methods elevates the robustness and enhances steady-state and dynamic responses. As the DBC contributes to improved dynamic response, the adaptive compensating items satisfy the practicality of the system to tolerate nonlinear behavior inherent in PMSM drives. The adaptive control terms are dynamically updated online to effectively suppress system uncertainties under severe conditions; for instance, low-speed region. The proposed AS-DBC method is then validated leveraging the PSIM simulation tool and experimentally tested using a PMSM drive setup, exhibiting superior performance in terms of precisely tracking capability covering low-, medium-, and high-speeds, and reduced estimated speed ripples compared to classical control methods.
This work was supported in part by the National Research Foundation of Korea (NRF) Grant funded by Korea Government [Ministry of Science and ICT (MSIT)] under Grant RS-2024-00333208, and in part by Interdisciplinary Research Center for Sustainable Energy Systems (IRC-SES), King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia.
