Data-Driven Fuzzy Sliding Mode Observer-Based Control Strategy for Time-Varying Suspension System of 12/14 Bearingless SRM
Ye Yuan, Kai Xie, Wen Ji, Yougang Sun, Fan Yang, Yu Nan
Abstract
The suspension system of the 12/14 bearingless switched reluctance motor (BSRM) exhibits inherent time-varying characteristics owing to the salient pole structure of its rotor. However, existing control strategies tend to overlook these timevarying characteristics, resulting in reduced suspension performances, including accuracy and resistance to interference. In response, this study explores a control strategy for addressing the time-varying nature of the suspension system. The timevarying characteristics of the suspension system are initially revealed through finite element analysis and mathematical model representation. Subsequently, a double closed-loop control system for suspension force is designed, including a time-invariant suspension force model (TISFM) and a data driven fuzzy sliding mode observer (DDFSMO). The TISFM is used to conduct a timeinvariant direct suspension force control system, whereas the DDFSMO is designed on the basis of the TISFM to compensate for the error between the TISFM and complete suspension force model (CSFM). The time-varying suspension control system is successfully converted into a time-invariant one by the combined action of the TISFM and DDFSMO. Finally, the validity of the proposed control strategy for time-varying suspension system is validated.