Power electronics contribution to renewable energy conversion addressing emission reduction: Applications, issues, and recommendations
Global energy consumption is increasing at a dramatic rate and will likely continue to do so.
The major source of energy is still fossil fuel, which has resulted in the well-documented …
The major source of energy is still fossil fuel, which has resulted in the well-documented …
Switching techniques and intelligent controllers for induction motor drive: Issues and recommendations
Induction motor drive is widely used in many load applications in approximately 60% of the
total industrial load. However, the dynamic configuration of the induction motor, especially a …
total industrial load. However, the dynamic configuration of the induction motor, especially a …
Metaheuristics optimization applied to PI controllers tuning of a DTC-SVM drive for three-phase induction motors
This paper presents the application of optimization metaheuristics in direct torque control
with space vector modulation (DTC-SVM) of a three-phase induction motor. Two …
with space vector modulation (DTC-SVM) of a three-phase induction motor. Two …
Hybrid control of the three phase induction machine using artificial neural networks and fuzzy logic
Nowadays, the microcomputer performs calculations at an incredibly high rate of billions of
instructions per second. That represents an exponential increase in the processing speed …
instructions per second. That represents an exponential increase in the processing speed …
Induction machine-based EV vector control model using Mamdani fuzzy logic controller
H Salahuddin, K Imdad, MU Chaudhry, D Nazarenko… - Applied Sciences, 2022 - mdpi.com
The substantial rise in the demand for electric vehicles (EVs) has emphasized an
environment-friendly and intelligent design for speed control strategies. In this paper, a …
environment-friendly and intelligent design for speed control strategies. In this paper, a …
Stable adaptive probabilistic Takagi–Sugeno–Kang fuzzy controller for dynamic systems with uncertainties
O Shaheen, AM El-Nagar, M El-Bardini, NM El-Rabaie - ISA transactions, 2020 - Elsevier
In this study, an adaptive probabilistic Takagi–Sugeno–Kang fuzzy PID (APTSKF-PID)
scheme is developed to control nonlinear systems. The proposed controller merges the …
scheme is developed to control nonlinear systems. The proposed controller merges the …
A survey: Fuzzify parameters and membership function in electrical applications
The unique simplicity and the needless for a mathematical model of the fuzzy logic controller
along with the variety of abilities such as good respond to complex and high-order systems …
along with the variety of abilities such as good respond to complex and high-order systems …
Development and experimental realization of an adaptive neural-based discrete model predictive direct torque and flux controller for induction motor drive
This paper develops a neural network-based discrete predictive direct torque and flux
control (NNPDTFC) for induction motor drive with the space vector modulation (SVM) …
control (NNPDTFC) for induction motor drive with the space vector modulation (SVM) …
Control of TCP muscles using Takagi–Sugeno–Kang fuzzy inference system
Inspired by nature, many types of artificial muscles or actuators have been developed for
mechatronic systems. Twisted and coiled polymer (TCP) muscles are some examples that …
mechatronic systems. Twisted and coiled polymer (TCP) muscles are some examples that …
Enhanced Vector Control of Induction Motor by Fuzzy Logic Controller
The Fuzzy Logic Speed Controller (FLSC) is often used in motor drive applications because
of its resilience and its ability to function without relying on specific plant characteristics …
of its resilience and its ability to function without relying on specific plant characteristics …