Proceedings ArticleDOI
Online Learning Artificial Neural Network Controller for a Buck Converter
Jazmin Ramirez-Hernandez,Oswaldo Ulises Juarez-Sandoval,Kevin Cano-Pulido,J.F. Márquez-Rubio,Nancy Mondragon-Escamilla +4 more
Reads0
Chats0
TLDR
This paper presents an Online Learning Artificial Neural Network Controller (OLANNC) for a DC-DC Buck converter that uses a Perceptron Online Learning algorithm to stabilize the output voltage.Abstract:
This paper presents an Online Learning Artificial Neural Network Controller (OLANNC) for a DC-DC Buck converter. The proposed control scheme uses a Perceptron Online Learning algorithm to stabilize the output voltage. The OLANNC obtains the appropriate duty cycle of the PWM signal that determines the switching operation of the semiconductor device. To verify the effectiveness of the proposed method, a simulation results are presented with some operations such as reference voltage variations. Comparison with a typical controller is also presented to denote it advantages.read more
Citations
More filters
Proceedings ArticleDOI
Voltage Control Based on a Back-Propagation Artificial Neural Network Algorithm
Jazmin Ramirez-Hernandez,Oswaldo-Ulises Juarez-Sandoval,Leobardo Hernandez-Gonzalez,Abigail Hernandez-Ramirez,Raul-Sebastian Olivares-Dominguez +4 more
TL;DR: A voltage controller based on an Artificial Neural Network (ANN) whose online learning back-propagation algorithm allows the output voltage regulation according to a desired reference output voltage is presented.
Proceedings ArticleDOI
A backpropagation neural network controller trained using PID for digitally-controlled DC-DC switching converters
TL;DR: In this paper, a backpropagation (BP) neural network controller trained using PID for digitally-controlled DC-DC switching converters is proposed to improve the transient response performance, which is trained to learn the PID control algorithm and obtain the optimal control coefficients to fit the input-output relationship under different operating points.
Proceedings ArticleDOI
Data-Driven Control of DC-DC Power Converters Using Levenberg-Marquardt Backpropagation Algorithm
Kehinde A Makinde,Maher Al-Greer +1 more
TL;DR: In this paper , the authors proposed a data driven control using a four-layered feedforward neural network controller which is able to achieve a near-optimal performance in the output waveforms of a synchronous dc-dc buck converter.
Proceedings ArticleDOI
Multiphase Buck Converters for Power Delivery Using Neural Network Control Scheme
TL;DR: In this article , an artificial neural network (ANN) controller implemented in multiphase buck regulator model is proposed, which uses a feed-forward back propagation algorithm of neural network to regulate the output voltage of the converter under steady state operation.
Journal ArticleDOI
Adaptive neural network control of DC-DC power converter
Sasank Das Gangula,Tousif Khan Nizami,Ramanjaneya Reddy Udumula,Arghya Chakravarty,Priyanka Singh +4 more
TL;DR: In this article , the authors proposed a novel Zernike radial neural network based adaptive control architecture for the closed-loop control of output DC voltage in DC-DC buck power converter.
References
More filters
Journal ArticleDOI
Advanced Integrated Bidirectional AC/DC and DC/DC Converter for Plug-In Hybrid Electric Vehicles
TL;DR: It is shown that the integrated converter has a reduced number of high-current inductors and current transducers and has provided fault-current tolerance in PHEV conversion.
Journal ArticleDOI
Evaluation of DSP-Based PID and Fuzzy Controllers for DC–DC Converters
TL;DR: In this paper, digital proportional-integral-derivative (PID)-type and fuzzy-type controllers are compared for application to the buck and boost dc-dc converters.
Journal ArticleDOI
High-Power Bidirectional DC–DC Converter for Aerospace Applications
TL;DR: In this article, a steady-state analysis of the bidirectional dual active bridge (DAB) dc-dc converter is presented, which produces equations for RMS and average device currents, and rms and peak inductor/transformer currents.
Journal ArticleDOI
Comprehensive DC Power Balance Management in High-Power Three-Level DC–DC Converter for Electric Vehicle Fast Charging
TL;DR: In this paper, a comprehensive dc power balance management (PBM) in conjunction with high-power three-level dc-dc converter based fast charger is proposed to solve the unbalanced power problem in the bipolar dc bus.
Journal ArticleDOI
Artificial-neural-network-based sensorless nonlinear control of induction motors
TL;DR: In this article, two architectures of artificial neural networks (ANNs) are developed and used to correct the performance of sensorless nonlinear control of induction motor systems, which is based on the use of ANN to get an appropriate correction for improving the estimated speed.