Abstract
To achieve the high-performance control of the surface-mounted permanent magnet synchronous motor (SPMSM) speed control system, this paper proposes a high-order sliding mode control strategy based on a new super twisting algorithm (NSTA). This strategy introduces an adaptive term in its proportional term based on the original super twisting algorithm, which solves low reaching speed and poor antidisturbance ability due to the square root calculation of proportional term in the original super twisting algorithm. The simulation results show that the proposed strategy can effectively improve the system’s response speed and antidisturbance and greatly suppress the chattering phenomenon of traditional sliding mode control.
Highlights
Surface-mounted permanent magnet synchronous motors are widely used in aerospace, numerical control systems, wind power generation, and new energy electric vehicle drive systems due to their high efficiency and small size [1, 2]
To solve the problems caused by traditional PI control, scholars from all over the world have conducted much research, and some modern control theory achievements have been successfully applied to the speed control system of SPMSM, such as adaptive control, fuzzy control, neural network, active disturbance rejection control, and sliding mode control
The traditional sliding mode control improves the robustness of the system, when the sliding mode control is applied to the actual system, due to the time delay and space lag of the switch, the error of the state detection, and other factors, it is easy to cause the system chattering phenomenon and reduce the dynamic quality of the system [4]. erefore, how to suppress chattering is the key to the application of sliding mode control
Summary
Surface-mounted permanent magnet synchronous motors are widely used in aerospace, numerical control systems, wind power generation, and new energy electric vehicle drive systems due to their high efficiency and small size [1, 2]. Chinese scholar Gao proposed a sliding mode control strategy based on the reaching law in 1996, which effectively improved the system’s dynamic quality and reduced the sliding mode chattering to a certain extent [5]. E authors in literature [6] proposed a sliding mode control strategy based on exponential reaching law and Sigmoid function, which effectively suppressed sliding mode chattering. In literature [17], the super twisting algorithm was applied to the SPMSM speed regulation system and compared with the sliding mode control based on exponential reaching law. Erefore, the authors in literature [18] proposed a PMSM speed control system based on the adaptive super spiral algorithm, which effectively solved the problem of overestimating the gain of the existing algorithm and improved the system’s stability. On the premise of ensuring that the system chattering is not increased, the dynamic quality of the SPMSM speed control system is improved
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
