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This study purposed a sliding-mode controller (SMC) with a variable sliding surface (slide plane). This SMC was then applied to a direct field-oriented control (FOC) system without speed sensors developed for an induction motor. To improve the performance and robustness of the drive, fuzzy theory was integrated with sliding-mode control. For this integration, fuzzy sliding surfaces were used as a...
In this study, the sliding mode controller (SMC) and the Takagi-Sugeno-Kang (TSK) fuzzy system were employed to design the proposed sliding mode controller with adaptive fuzzy compensation (AFSC). This design can improve the speed control performance of switched reluctance motor drive systems. Lyapunov function was derived to ensure the stability of the controller in the motor drive systems. To verify...
This paper is concerned with the stabilization problem for a class of uncertain chaotic systems. Based on a set of linguistic rules, a novel variable universe fuzzy sliding-mode control approach is designed to improve the robustness and the stability of system. Based on Lyapunov stability theory, the overall closed-loop system is shown to be stable. The designed controller not only can control the...
This work presents a twin sliding mode controller (TSMC) and neural network-based estimators for vector controlled induction motor (IM) drives. The proposed TSMC is used as a speed controller. In contrast with conventional sliding mode control (SMC), the TSMC can more significantly improve the dynamic response and eliminate the chattering effect. Additionally, estimators are implemented respectively...
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