An AI-in-loop fuzzy-control technique for UAV's stabilization and landing
In this paper, an adaptable fuzzy control mechanism for an Unmanned Aerial Vehicle (UAV)
to manipulate its mechanical actuators is provided. The mission (landing) for the UAV is …
to manipulate its mechanical actuators is provided. The mission (landing) for the UAV is …
Performance improvement based torque ripple minimization for direct torque control drive fed induction motor using fuzzy logic control
M Elgbaily, F Anayi, M Packianather - Control, Instrumentation and …, 2022 - Springer
This paper presents an investigation of the dynamic performance of Fuzzy Logic Control
based on conventional Direct Torque Control (FLC-DTC) to mitigate torque ripples with a …
based on conventional Direct Torque Control (FLC-DTC) to mitigate torque ripples with a …
Output Recurrent Fuzzy Broad Learning Systems for Adaptive MIMO PID Control: Theory, Simulations and Application
This paper proposes a novel adaptive predictive Proportional-Integral-Derivative (PID)
controller utilizing an output recurrent fuzzy broad learning systems (ORFBLS) for Multiple …
controller utilizing an output recurrent fuzzy broad learning systems (ORFBLS) for Multiple …
Takagi–Sugeno Fuzzy Logic Controller for DFIG Operating in the Stand-Alone Mode: Simulations and Experimental Investigation
In this paper, an enhanced control scheme for doubly fed induction generators (DFIGs)
operating in the standalone mode is proposed and experimentally validated. The intended …
operating in the standalone mode is proposed and experimentally validated. The intended …
Battery energy management techniques for an electric vehicle traction system
This paper presents two battery energy management (BEM) techniques for an electric
vehicle (EV) traction system which incorporates an indirect field-oriented (IFO) induction …
vehicle (EV) traction system which incorporates an indirect field-oriented (IFO) induction …
[HTML][HTML] Optimization of fuzzy controller for predictive current control of induction machine
An optimization procedure for type 1 Takagi–Sugeno Fuzzy Logic Controller (FLC)
parameter tuning is shown in this paper. Ant colony optimization is used to obtain the …
parameter tuning is shown in this paper. Ant colony optimization is used to obtain the …
Designing practical fuzzy gain scheduling controllers for micromobility applications of permanent magnet synchronous machines
KM Gul, B Kacar, M Aziziaghdam… - Proceedings of the …, 2023 - journals.sagepub.com
In micromobility applications, maintaining satisfactory motor drive performance in the full
torque-speed envelope of an outer rotor non-salient permanent magnet synchronous …
torque-speed envelope of an outer rotor non-salient permanent magnet synchronous …
Sensorless Speed Control of Induction Motor Drives Using Reinforcement Learning and Self-Tuning Simplified Fuzzy Logic Controller
Fuzzy logic controls (FLCs) have emerged as a promising solution for speed regulation in
induction motor (IM) drives, offering adaptability to non-linearities, parameter variations, and …
induction motor (IM) drives, offering adaptability to non-linearities, parameter variations, and …
Implementation of Fuzzy Logic Controller Algorithms with MF optimization on FPGA
In this work, we propose the design and implementation of a parallel-structured fuzzy logic
controller with integral action and anti-windup. The Grey Wolf Optimization (GWO) …
controller with integral action and anti-windup. The Grey Wolf Optimization (GWO) …
Implementation of NonLinear Controller with Anti-Windup on Xilinx FPGA
This article describes a research study on an electromechanical system with saturation,
where a fuzzy hybrid controller with integral action and anti-windup is applied. The study …
where a fuzzy hybrid controller with integral action and anti-windup is applied. The study …