Abstract
In this paper, a novel optimal adaptive-gains super-twisting sliding-mode control (OAGSTSMC) using actor-critic approach is proposed for a high-speed permanent-magnet synchronous motor (PMSM) drive system. First, the super-twisting sliding-mode controller (STSMC) is adopted for reducing the chattering phenomenon and stabilizing the PMSM drive system. However, the control performance may be destroyed due external disturbances and parameter variations of the drive system. In addition, the conservative selection of the STSMC gains may affect the control performance. Therefore, for enhancing the standard super-twisting approach performance via avoiding the constraints on knowing the disturbances as well as uncertainties upper bounds, and to achieve the drive system robustness, the direct heuristic dynamic programming (HDP) is utilized for optimal tuning of STSMC gains. Consequently, an online actor-critic algorithm with HDP is designed for facilitating the online solution of the Hamilton-Jacobi-Bellman (HJB) equation via a critic neural network while pursuing an optimal control via an actor neural network at the same time. Furthermore, based on Lyapunov approach, the stability of the closed-loop control system is assured. A real-time implementation is performed for verifying the proposed OAGSTSMC efficacy. The experimental results endorse that the proposed OAGSTSMC control approach achieves the PMSM superior dynamic performance regardless of unknown uncertainties as well as exterior disturbances.
Highlights
Numerous processing methods of microelectromechanical systems (MEMS) have been industrialized for minimizing the power dissipation, the weight, and the size of the micromotors
VALIDATION RESULTS Firstly, the simulation on the permanent-magnet synchronous motor (PMSM) is conducted to verify the effectiveness of the proposed online OAGSTSMC scheme compared with the PID, Sliding-mode controller (SMC), super-twisting sliding-mode controller (STSMC) and ASTSMC control schemes
The results have proved a significant minimization of the high dip of the PMSM rotor angular speed via employing the OAGSTSMC approach
Summary
Numerous processing methods of microelectromechanical systems (MEMS) have been industrialized for minimizing the power dissipation, the weight, and the size of the micromotors. Micromotors are deliberated as promising nominees to accomplish high-performance operation. Numerous control approaches have been investigated for micromotors [1], [5]–[12], [14]–[20]. Encoderless speed control approaches have been presented [6]–[12]. For micro PMSMs encoderless control, the rotor position angle is estimated in the control approaches [6], [7]. In [8]–[10], an observer for estimating the rotor position angle of the micro PMSM along with robust H∞ controller have been presented. The investigation of encoderless control of slotless PMSM without current control loops is developed in [11] and the three-phase back emfs are estimated via first-order delay
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
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.
