A new fast observer-based speed control algorithm for PMSM motor drive based on sliding mode theory

Designing a robust control algorithm for PMSM motors to effectively handle model uncertainties, regardless of their magnitude, is a significant challenge. Many sliding mode control methods determine the uncertainty band while proving and designing the controller. However, in some cases, the determined uncertainty band may be smaller than the actual model uncertainty, leading to reduced control accuracy. If system faults occur, the level of uncertainty increases, further complicating the control process. To address this issue, this paper presents a new control technique according to an estimator and sliding mode control. Specifically, it presents a control method based on sliding terminal control, which offers significantly faster convergence compared to conventional sliding methods. Additionally, an estimator based on the sliding method is developed in this article to estimate the state variables and provide references to the controller. This approach reduces the overall system cost and enables the estimation of disturbances and even faults that may otherwise compromise the performance of robust controllers. Notably, when a suitable sliding surface is chosen during design, the chattering phenomena have been mitigated to an acceptable level, in contrast to conventional sliding methods. A number of real-world tests are used to evaluate the suggested control structure’s performance, which demonstrates its effectiveness and superior performance in contrast to the traditional sliding technique.