A self-tuning fuzzy controller
Fuzzy Sets and Systems
Fuzzy self-tuning of PID controllers
Fuzzy Sets and Systems
An introduction to fuzzy control
An introduction to fuzzy control
Artificial-Intelligence-Based Electrical Machines and Drives: Application of Fuzzy, Neural, Fuzzy-Neural, and Genetic-Algorithm-Based Techniques
Industrial Applications of Fuzzy Control
Industrial Applications of Fuzzy Control
Conventional fuzzy control and its enhancement
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A robust self-tuning scheme for PI- and PD-type fuzzy controllers
IEEE Transactions on Fuzzy Systems
Scaling of fuzzy controllers using the cross-correlation
IEEE Transactions on Fuzzy Systems
International Journal of Computer Applications in Technology
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In this paper, application of self-tuning fuzzy PI scheme (STPIFLC) for Direct Torque Controlled Induction Motor (DTC IM) drive is proposed. In the proposed approach, the output scaling factor (SF) is adjusted online by fuzzy rules according to the current trend of the controlled process. The rule base for tuning the output SF is defined on error (e) and change of error (?e) of the controlled variable using triangular equally overlapped membership functions (MFs). The performance of the proposed self-tuning fuzzy PI controller is compared with the corresponding fuzzy logic controller and PI controller. The performance index based on speed error is assigned to provide a numerical comparison among different controllers. Simulation results show that the proposed STPIFLC for DTC IM drive gives remarkably improved performance and high robustness compared with those obtained by the application of a conventional controller (PI).