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Artificial-intelligence-based design for circuit parameters of power converters
Parameter design is significant in ensuring a satisfactory holistic performance of power
converters. Generally, circuit parameter design for power converters consists of two …
converters. Generally, circuit parameter design for power converters consists of two …
[PDF][PDF] Optimized PID Controller of DC-DC Buck Converter based on Archimedes Optimization Algorithm.
The DC-DC buck converter stands as a fundamental component in diverse electronic
systems, offering voltage stabilization for equipment [1]. Its applications span across …
systems, offering voltage stabilization for equipment [1]. Its applications span across …
LC filter parameters design method based on harmonic contents analysis for dual-mode single-phase inverter
Two-stage single-phase inverter using dual-mode control can match wide input voltage
variation range and increase efficiency. That is studied by many researchers. In addition …
variation range and increase efficiency. That is studied by many researchers. In addition …
AutoTG: Reinforcement learning-based symbolic optimization for AI-assisted power converter design
Power converters are pervasive in modern electronic component design. They can be found
in all electronic devices from household appliances and cellphone chargers to vehicles …
in all electronic devices from household appliances and cellphone chargers to vehicles …
Deep neural network-based surrogate model for optimal component sizing of power converters using deep reinforcement learning
The optimal design of power converters often requires a huge number of simulations and
numeric analyses to determine the optimal parameters. This process is time-consuming and …
numeric analyses to determine the optimal parameters. This process is time-consuming and …
Applications of artificial intelligence in the circuit and modulation design of DC-DC converters
X Li - 2023 - dr.ntu.edu.sg
Threatened by the global warming and the depletion of fossil fuel, renewable energy such
as solar energy and clean transportation solutions like electric vehicles are attracting more …
as solar energy and clean transportation solutions like electric vehicles are attracting more …
[HTML][HTML] Efficient microwave filter design by a surrogate-model-assisted decomposition-based multi-objective evolutionary algorithm
Y Wei, G Qi, Y Wang, N Yan, Y Zhang, L Feng - Electronics, 2022 - mdpi.com
As a crucial frequency selection device in modern communication systems, the microwave
filter plays an increasingly prominent role. There is a great demand for the multi-objective …
filter plays an increasingly prominent role. There is a great demand for the multi-objective …
LC filter optimized design considering the effect on the power converter and capacitor lifetimes
This work presents an LC filter design methodology that considers the optimization of the
converter as a whole: filter, semiconductor switches, and DC bus. The optimization is made …
converter as a whole: filter, semiconductor switches, and DC bus. The optimization is made …
Deep reinforcement learning-based optimal parameter design of power converters
The optimal design of power converters often requires a long time to process with a huge
number of simulations to determine the optimal parameters. To reduce the design cycle, this …
number of simulations to determine the optimal parameters. To reduce the design cycle, this …
Buck Converter Parameters Design Using Artificial Intelligence-Based Genetic Algorithm
The design of circuit parameters is critical to optimize the performance and efficiency of
power converters. This research focuses on designing synchronous buck converters using …
power converters. This research focuses on designing synchronous buck converters using …