Super twisting controller using proportional integral-based sliding surface for buck converter with disturbances


BODUR F., KAPLAN O.

Asian Journal of Control, 2024 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Publication Date: 2024
  • Doi Number: 10.1002/asjc.3474
  • Journal Name: Asian Journal of Control
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Compendex, INSPEC, zbMATH
  • Keywords: buck converter, PI surface, sliding mode control, super twisting
  • Gazi University Affiliated: Yes

Abstract

This paper proposes a super-twisting controller based on a PI-based surface for a buck converter with matched disturbance. Standard sliding mode control (SMC) has some well-known drawbacks: the chattering effect and parameter restriction, which determines how quickly the controller accesses the sliding surface and the steady-state error. First, the super-twisting algorithm is employed in the control rule of the proposed controller to suppress the chattering effect. Then, parameter limitation, another deficiency of the SMC, has been eliminated by employing a PI-based surface. The PI-based surface also improves the controller's adjustment parameters by developing adaptability in parameter choices. The buck converter's dynamic response is enhanced by the addition of a novel parameter to the sliding surface of the suggested controller. Furthermore, Lyapunov stability analysis is described in order to evaluate the theoretical stability of the proposed controller. The efficacy of the suggested controller has been demonstrated through an array of simulations and an experimental configuration across various evaluation conditions. The simulation and experimental results show that the reference-tracking capability is effective in the presence of disturbances. Furthermore, the proposed switching rule effectively eliminates the chattering effect. The suggested controller outperforms existing techniques in terms of both dynamic performance and disturbance robustness.