Research on optimizing sliding mode control of permanent magnet synchronous motor based on ISBOA

Abstract A sliding mode speed controller improvement-based secretary bird optimization algorithm (ISBOA) is put forward to address the issues of turmoil suppression as well as responsiveness in conventional vector control systems. By modifying the approach rate and sign function, the phenomenon of synovial shaking can be effectively reduced and the approach speed can be increased. The improved algorithm combines multiple strategies to enhance the overall level of exploration of the SBOA. To improve the adaptive adjustment capability of the system when the motor operating state changes, this algorithm is used to adaptively adjust the parameters of the sliding mode speed controller. The final simulation results indicate that the methods proposed are robust and fast-response.