Design of Adaptive Neural Fuzzy Controller for Speed Control of BLDC Motors
The purpose of this paper is to design an adaptive neuro-fuzzy controller to control the speed of the BLDC motor. This paper throws overall view of the performance of fuzzy PID controller and compares with fuzzy - adaptive neural controller.
Akbar Karimi Pouya
doaj
Composite Fuzzy-Based Control Strategy for Uncertain Underactuated System
Most practical systems are influenced by disturbances and uncertainties within their models, increasing the need for robust control algorithms. Type-2 fuzzy theory and its variant, interval type-2 fuzzy, are well-regarded for their capability to ...
Duc-Binh Pham +2 more
doaj +1 more source
Design issues of a reinforcement-based self-learning fuzzy controller for petrochemical process control [PDF]
Fuzzy logic controllers have some often-cited advantages over conventional techniques such as PID control, including easier implementation, accommodation to natural language, and the ability to cover a wider range of operating conditions.
Daugherity, Walter C. +2 more
core +1 more source
In modern energy systems, managing energy within a microgrid (MG) poses significant challenges due to the unpredictable nature of renewable energy sources.
Sadasiva Behera, Nalin B. Dev Choudhury
doaj +1 more source
Variable Universe Fuzzy Control of Soft-start for Asynchronous Motor
Soft-start system of asynchronous motor is a typical time-varying, non-linear system. The instantaneous impact of the starting current is large, which has a great influence on the motor, the drive equipment and the power grid.
GAO Chunxia, LI Linbo, LIU Xiuhong
doaj
Optimal fuzzy-PID controller design for object tracking. [PDF]
Melese YL, Alitasb GK, Belete MD.
europepmc +1 more source
Fuzzy-PID controller based sliding-mode for suppressing low frequency oscillations of the synchronous generator. [PDF]
Signe RK, Motto FB.
europepmc +1 more source
A hybrid fuzzy-PIDD² control strategy for coordinated LFC and AVR in renewable-integrated multi-area power systems. [PDF]
Omar MHT, Hamdy RA, Kotb H.
europepmc +1 more source
FUZZY SUPERVISOR FOR PID CONTROLLER
M. V. Burakov, A. S. Konovalov
openaire +1 more source
Trajectory Tracking Control for Subsea Mining Vehicles Based on Fuzzy PID Optimised by Genetic Algorithms. [PDF]
Bu H, Wu M, Liu B, Yan Z.
europepmc +1 more source

